The Cognitive Ecology Model
Neuroqueering Systems Through Relational Design — a reader’s edition
Sher Griffin · Saybrook University
July 2025
Abstract
This thesis explores the evolution of autism discourse and proposes the Cognitive Ecology Model (CEM) as both a critique of existing paradigms and a generative alternative. Through Critical Discourse Analysis of historical, clinical, systemic, and cultural narratives, it traces how autism has been framed through deficit-based, medicalized lenses that marginalize those at the intersections of race, gender, class, and trauma.
In response, the Cognitive Ecology Model offers a relational, trauma-informed, and context-sensitive framework. Rather than viewing autism as a fixed internal condition, CEM conceptualizes neurodivergence as an emergent ecological expression—shaped by environment, support, and relational fit. This model was developed and refined through a 25-session public workshop, Transformative Education for Neurodivergent Liberation, engaging a diverse community in co-creation and critical reflection.
Using autoethnography, liberatory pedagogy, and reflective journaling, this research documents the model’s development and its impact. Participants reported clarity, resonance, and empowerment, as well as shared experiences of masking, burnout, ecological mismatch, and the need for meaning beyond binary notions of functioning.
The discussion positions CEM as a tool for educators, clinicians, advocates, and neurodivergent individuals seeking alternatives to compliance-based frameworks. While acknowledging limitations—such as reliance on narrative methods and participant reflection—the model’s strength lies in its adaptability, accessibility, and alignment with transformative social change.
This thesis concludes with a call to reframe support as ecosystem design. It invites scholars and practitioners to view identity not as diagnosis, but as relational emergence—and to build systems rooted in belonging.
Dedication
For my mother,who didn’t get to see me cross the finish line,but who walked beside me every step of the way.
You taught me how to be strong without becoming hard,how to keep growing—even when it hurt,and how to meet the world with both fierceness and grace.
Your journey was one of transformation,and so is mine.This is for you.
Acknowledgments
This thesis is not mine alone. It is the product of every interaction, every rupture, every quiet grace that shaped the person writing these words. It is rooted in a lifetime of navigating systems not designed for minds like mine—and in the people who, through love, friction, and radical presence, helped me grow into myself. This is more than a thesis; it is a living record of the ecology of my becoming.
To my children: You have been my most transformative teachers. Your honesty, forgiveness, and fierce willingness to walk this path with me have rewritten everything I thought I knew about love. We have grown in parallel, relearning how to be in the world—and in relation—with neurodivergent tenderness and strength. You are the heart of this work.
To my partner: You have witnessed my unraveling and still held me close. With you, I can unmask. With you, I am whole. Thank you for being the sanctuary where my spirals are sacred, my quiet is heard, and my complexity is never too much. You’ve made this work possible—because you’ve made me possible.
To my mother and father: You are my foundations. To my mother—thank you for evolving, for showing me that change is always possible. Our love has been a process, a practice, a quiet revolution. To my father—thank you for the brilliance and restlessness that run through me like current. I carry your questions with me still.
To my sisters: We are shaped by the same roots, but we’ve grown in wildly different directions. In you, I see both reflection and divergence. Our shared history is a mirror I return to with complexity, grief, and deep gratitude.
To my two best friends: You have seen me at my most paradoxical and never asked me to collapse into simplicity. You’ve held space for my contradictions, my fire, my softness. In a world that often misunderstands, you have simply understood. You helped me create language where there was none.
To The Compassion Collective: You are my praxis. This work lives in community, in co-creation, in the brave act of imagining alternatives. Thank you for being the space where theory becomes real, where belonging is not conditional, and where we dare to build what doesn't yet exist.
To my recovery community: Before I had the language of neurodivergence, I had you. You taught me that identity is fluid, that healing is nonlinear, and that no transformation happens in isolation. You showed me how to name my truths—and how to hold them with care.
To my academic home: I have been both student and dissonant presence. Academia was not built for minds like mine—but I carved a space anyway. Thank you to the professors and peers who responded to my work with curiosity rather than defensiveness. And to those who met it with resistance—thank you for the friction. It sharpened me.
To the Autistic and Gifted communities: Your words, your fire, your vulnerability has illuminated my path. You are the open loops, the counter-narratives, the co-conspirators in this work. Through you, I learned that knowledge is not static—it is relational, emergent, and forever unfolding.
This thesis is not an endpoint. It is a thread in a much larger tapestry. It is woven from every voice, every influence, every lived moment of this journey.
And to those who come next—May this be a map, a mirror, a provocation. May it help build a world where neurodivergence is not accommodated within the old systems but centered in the creation of something radically new.
Chapter 1
Introduction — Framing the Work
Personal Positionality
I write this as an autistic, neuroqueer, trauma-surviving, white-bodied person engaged in a lifelong journey of unmasking, reclamation, and meaning-making.
I use the term neuroqueer intentionally—not just to describe my neurotype, but to signal a disruptive stance toward neuronormativity. As theorized by Nick Walker and others, neuroqueer is not simply an identity—it is a practice of refusing assimilation, of embodying cognitive and relational divergence in ways that unsettle normative boundaries of self, gender, behavior, and knowledge.
I am someone who was not formally identified until adulthood, who experienced five major burnouts before realizing that I was not broken - I was unsupported. I write this as someone whose autistic truth was always present, but often gaslit, pathologized, or romanticized through lenses not my own. My mind is shaped by gestalt processing, literal interpretation, and deep systems thinking. I experience cognition not as a linear narrative but as relational mapping—recursive, layered, symbolic.
This work began because I could not find a model that reflected my experience—nor the experiences of those around me who were similarly navigating the intersections of neurodivergence, trauma, identity, and justice. I was frustrated by models that named behaviors but ignored context; that categorized without listening; that offered support only through diagnostic compliance. This thesis emerges from my refusal to be defined by a system that does not recognize the full spectrum of who we are. It is rooted in a desire not to explain autism, but to liberate it.
Purpose of the Study
The purpose of this thesis is to propose the Cognitive Ecology Model (CEM) as an emergent, liberatory framework for understanding neurodivergence—particularly autism, ADHD, and giftedness—outside of deficit-based paradigms. Grounded in autoethnographic inquiry, this work critically examines the discursive and institutional forces that have historically shaped autism through medicalization, control, and exclusion—while embracing neuroqueer praxis as a site of resistance and reclamation.
Rather than defining autism through diagnostic criteria alone, CEM reframes it as an emergent, relational experience shaped by environmental fit, trauma, support, access, and belonging. In doing so, it integrates personal narrative, ecological systems thinking, and trauma-informed insight into a fluid model of human development.
This is not a thesis of theory alone. It operationalizes the model through praxis: a 25-session workshop hosted on Substack, and a wider living lab of community engagement through The Compassion Collective. The work introduces Exclusion Feedback Synpraxis (EFS)—a companion concept that explores how systems fracture individuals through feedback loops of exclusion, and how communities can move toward repair through co-creation, resonance, and sovereignty.
Ultimately, this thesis contributes to the field of Transformative Social Change by offering a model rooted in lived experience and self-determination—centering relational intelligence, decolonial perspectives, and cognitive diversity as necessary conditions for collective evolution.
Defining Synpraxis
Synpraxis is an original term I developed to describe a relational and recursive way of thinking, feeling, and acting that arises from the synthesis of diverse knowledges through lived experience. Derived from the Greek syn- (together) and praxis (action), Synpraxis means “acting together through synthesis.” It is not simply a convergence of ideas, but an emergent process in which theory, story, and experience are metabolized into insight and co-created transformation.
In the context of this thesis, Synpraxis serves as both a methodology and an orientation—a way of knowing that honors complexity, relationality, and the embodied intelligence of marginalized ways of being. This term emerged organically in dialogue with others navigating similar terrains of neurodivergence, trauma, and system transformation. Synpraxis makes space for those of us who live between paradigms and whose truths cannot be extracted from context, community, or collaboration.
Research Questions and Objectives
Primary Research Question
How can the lived experiences of neurodivergent individuals—particularly those navigating autism, ADHD, giftedness, and trauma—inform a more relational, liberatory model of development beyond deficit-based systems?
Secondary Questions
In what ways do systems of classification (medical, psychological, educational) fragment and constrain identity and belonging?
How can self-determined meaning-making and community praxis co-create new pathways toward healing and integration?
What role do race, class, gender, culture, and community play in shaping the safety and possibility of “masking” or “unmasking”?
How does Exclusion Feedback Synpraxis (EFS) illuminate the recursive dynamics of trauma, exclusion, and systemic feedback in both individual and collective contexts?
Objectives of the Study
To critically analyze historical and contemporary frameworks used to define and diagnose autism and other forms of neurodivergence.
To introduce and operationalize the Cognitive Ecology Model (CEM) through personal narrative, theoretical synthesis, and public workshop praxis.
To explore the dynamics of exclusion and integration through the lens of Exclusion Feedback Synpraxis (EFS).
To de-pathologize giftedness, autism, ADHD, and CPTSD by re-situating them within ecological and relational frames.
To contribute to the field of transformative social change by offering a participatory and emergent model grounded in intersectional lived experience.
Chapter 2
Methodology — Praxis, Presence, and Participatory Inquiry
This project does not follow a traditional research methodology because the work itself is a challenge to tradition. It is both lived and co-created, rooted in the refusal to be observed from a distance and in the reclamation of self-definition. The methodology employed here is a synthesis of autoethnography, transformative praxis, and participatory public engagement—with Substack serving as both platform and space of inquiry.
Autoethnographic and Praxis-Based Approach
Autoethnography, as described by Adams, Ellis, and Jones (2017), centers the researcher’s embodied, reflexive experience as both subject and method. In this thesis, autoethnography is not simply a mode of storytelling but a political act—a refusal to fragment the personal from the theoretical. My autistic experience, trauma history, giftedness, and systems navigation are not anecdotal—they are epistemic sources.
This work embodies Paulo Freire’s (1970) notion of praxis: the recursive movement between reflection and action. It also draws on liberation psychology, critical disability studies, and transformative justice frameworks to critique the epistemic violence of traditional research and reimagine how knowledge is formed. It resists the traditional separation of researcher and subject, collapsing the binary through presence, vulnerability, and iterative reflection.
Substack as Participatory Inquiry
This thesis unfolds through a 25-session educational series titled Transformative Education for Neurodivergent Liberation, hosted on Substack. Each session combined theory, narrative, systems thinking, and invitation—making the process both accessible and communal. Rather than “studying” a population, I invited co-creation, with each participant acting as a witness, mirror, and sometimes catalyst for emergent insight.
This mode of research deliberately blurs the lines between data, dialogue, and dissemination. The boundary between personal and collective knowledge dissolves. Participants are not passive data points—they are part of the meaning-making process itself.
Reflective Journaling as Parallel Data
Throughout the workshop series, I engaged in biweekly reflective journaling shared with my thesis advisor. These entries document the evolving internal and relational landscape of the project: emotional insights, moments of pattern recognition, feedback from readers, and ruptures in the research process.
Unlike traditional field notes, these reflections were written for both myself and another; they became liminal spaces where theory, fatigue, joy, and grief could coexist. This recursive process allowed me to track the embodied arc of the research and respond to emergent tensions.
Intersectional, Cultural, and Community-Centered Lens
A core commitment in this methodology is to explore how race, class, gender, culture, and community shape both the experience of neurodivergence and the conditions under which masking, unmasking, and authenticity become possible. These forces are not just social variables—they actively mediate whose truth is legible, whose burnout is seen as crisis, and whose cognition is framed as disorder.
The methodology does not pretend to be neutral. It is explicitly positioned within the struggle for epistemic and psychological justice. It acknowledges that to live unmasked is not always a privilege—but neither is masking always a choice. These nuances are essential to the construction of the Cognitive Ecology Model (CEM).
Living the Model
Ultimately, the method reflects the model: iterative, relational, generative, and ecological. The Cognitive Ecology Model is not only theorized here—it is also inhabited, tested, and evolved in real time. In doing so, this thesis offers not just critique, but a blueprint for reclaiming knowledge-making as a collective, liberatory act.
Chapter 3
Literature Review — Beyond the Binary: Mapping the Terrain of Cognitive Ecology
The Cognitive Ecology Model (CEM) arises not from a single tradition but through a constellation of disciplines: autism studies, trauma theory, neurodiversity discourse, liberation psychology, and systems thinking. Scholars such as McGuire (2016) and Silverman (2012) have shown how medicalized frameworks—especially the DSM—reduce relational complexity into deficit-based checklists, obscuring both social context and systemic harm. In contrast, the neurodiversity paradigm reframes autism as natural variation, yet tensions remain: some advocates caution against its co-optation into palatable branding. Thinkers like Nick Walker (2021), Kassiane Asasumasu (2015), and Lydia X. Z. Brown (2017) insist on keeping neurodivergence rooted in political, relational context—not symbolic inclusion.
Trauma theory further complicates this terrain. Theories such as Polyvagal Theory (Porges, 2011), Intense World Theory (Markram et al., 2010), and Positive Disintegration (Dabrowski, 1964) suggest that masking, sensitivity, and disintegration are not dysfunctions but adaptive responses to misattuned environments. Liberation psychology, following Martín-Baró (1994), demands we situate suffering within oppression, while decolonial scholars like Watkins and Shulman (2008) remind us that Western psychology has often excluded or harmed the very communities it claims to serve.
Finally, systems thinkers such as Bronfenbrenner (1979), Bateson (2000), and Scharmer (2016) help us see cognition as emergent—not located inside the individual, but arising through nested systems, feedback loops, and relational context. Together, these threads weave the intellectual terrain from which CEM emerges.
Rather than seeking to fix individuals, CEM asks: What are the conditions under which this mind could thrive? It moves from classification to context, from pathology to possibility.
Introduction & Methodology
Autism is not a static category—it is a construct shaped by language, history, institutions, and power. Over the past century, what we call “autism” has evolved through a series of discursive shifts, each layered with cultural assumptions and scientific authority. This chapter examines how dominant narratives have framed autism through a Critical Discourse Analysis (CDA), revealing how these framings continue to influence diagnostic practices, public perception, research funding, and the lived experiences of autistic people.
Critical Discourse Analysis (CDA), particularly as developed by Norman Fairclough (2013), allows us to examine not just what is said about autism, but how it is said, who gets to say it, and what ideologies are embedded within it. CDA is a political methodology. It presumes that language is not neutral, and that discourse serves to reproduce or challenge systems of domination. For this reason, CDA is especially well suited to interrogating the layered construction of autism as both a clinical label and a sociopolitical identity.
This analysis draws upon key texts from academic, diagnostic, and cultural sources—including the DSM (APA, 2013), early psychiatric literature (Asperger, 1944; Kanner, 1943), contemporary peer-reviewed journals, and community-authored works (Baggs, 2010; Sinclair, 1993; Bascom, 2012). By examining how autism is constructed across these contexts, we begin to see the ideological patterns that maintain certain narratives while excluding others. As McGuire (2016) argues, autism is not merely discovered; it is produced by systems that define, measure, and attempt to manage it.
This chapter also takes a reflexive stance. As an autistic researcher and writer, I am not analyzing autism from the outside but from within the very community these discourses attempt to define. This positionality challenges the traditional researcher/subject divide and aligns with emerging approaches in Critical Autism Studies and disability justice (Davidson & Orsini, 2013; O’Dell et al., 2016). It also recognizes that what we call “knowledge” is often shaped by who is allowed to speak—and who is pathologized when they do.
By mapping the evolution of autism discourse—from early pathologizing models to the neurodiversity movement and beyond—this CDA will illuminate the discursive foundations upon which the Cognitive Ecology Model (CEM) is built. It is not merely critique for critique’s sake; it is critique in service of liberation.
Historical Framing and the Rise of Deficit Discourse
Autism’s conceptual roots are often traced to early twentieth-century Western psychiatry, with formal diagnoses emerging from the clinical observations of Leo Kanner (1943) and Hans Asperger (1944). These early characterizations framed autistic children as socially withdrawn, emotionally detached, and cognitively rigid. While Asperger acknowledged some strengths—referring to “autistic intelligence”—his work, like Kanner’s, remained shaped by a medicalized lens of deviation from an assumed norm. As such, foundational autism research became deeply embedded in deficit models, viewing autistic traits as pathological (Verhoeff, 2013; Nadesan, 2005).
Less commonly acknowledged is the work of Grunya Efimovna Sukhareva, a Soviet child psychiatrist who, as early as 1925, published detailed clinical profiles of children with traits now associated with autism—sensory sensitivities, motor clumsiness, social differences, and exceptional memory. Notably, she emphasized both challenges and abilities, describing the children as having “high intelligence” and “keen interests” (Manouilenko & Bejerot, 2015). However, her contributions were largely overlooked, due in part to Cold War politics, gender biases, and the dominance of Western psychiatric narratives. Her omission reflects how early, more nuanced understandings of neurodivergence were eclipsed by reductive, pathology-centered frameworks.
Throughout the 20th century, Western psychiatry reinforced a hierarchical distinction between “normal” and “abnormal” development. Autism was coded as a disorder of social, emotional, and communicative dysfunction, and its diagnosis became increasingly formalized through institutions like the American Psychiatric Association. The DSM’s evolving criteria—from infantile autism in DSM-III to Autism Spectrum Disorder in DSM-5—reflected both scientific shifts and sociocultural anxieties (APA, 2013; Volkmar & Reichow, 2013).
This medicalized framing catalyzed the rise of behavioral interventions designed to “normalize” autistic individuals. Lovaas’ (1987) development of Applied Behavior Analysis (ABA), for example, institutionalized the idea that autistic behavior must be externally corrected through conditioning. ABA has been widely critiqued by autistic adults and scholars as a tool of compliance training rather than support (McGuire, 2016; Sandoval-Norton & Shkedy, 2019). As Silberman (2015) notes, these early approaches treated autism as a tragic anomaly to be cured rather than a natural variation in human neurology.
The framing of autism as a disorder also facilitated the expansion of a surveillance apparatus around behavior. Children were increasingly monitored, measured, and sorted through diagnostic tools that pathologized any deviation from developmental milestones (Eyal et al., 2010). This framework excluded alternative explanations for differences in behavior, language, and learning—such as trauma, cultural variation, or systems-level oppression—and instead located the “problem” within the individual.
Even contemporary descriptions of autism often rely on deficit language. The DSM-5 defines autism as “persistent deficits in social communication and social interaction across multiple contexts” (APA, 2013, p. 50), reinforcing the idea that autistic traits are impairments rather than differences. These definitions continue to influence educational policy, therapy approaches, and public understanding, despite emerging research that challenges their validity and ethical grounding (Botha & Gillespie-Lynch, 2022; Milton, 2012).
In this context, the idea of “functioning levels” became a shorthand for sorting autistic people into hierarchical categories. “High-functioning” individuals are presumed to need less support, while “low-functioning” individuals are often spoken about rather than with. These terms erase complexity and reinforce harmful binaries (Kapp et al., 2013; Bascom, 2012). Moreover, they often fail to account for the impact of environment, trauma, or intersecting identities.
This historical trajectory laid the groundwork for a deeply entrenched deficit discourse—one that continues to shape how society responds to, treats, and talks about autistic people. Understanding this legacy is essential to recognizing the urgent need for alternative models that move beyond pathology and into relational, contextual, and liberatory frameworks.
The Medicalization of Autism and Its Institutional Power
The pathologization of autism is not merely a theoretical concern—it is embedded in the very institutions tasked with education, healthcare, and public policy. Medicalization operates as both a discourse and a practice: it defines what counts as “normal,” determines who has access to resources, and legitimizes certain interventions while rendering others invisible (Nadesan, 2005; McGuire, 2016). Autism, through this lens, becomes a site of regulation—managed through diagnostic manuals, funding formulas, and behavioral compliance.
The institutionalization of autism has largely been driven by psychiatric and psychological frameworks that reduce complex human experiences to checklists of impairments. The Diagnostic and Statistical Manual of Mental Disorders (DSM) exemplifies this reductionist approach. While its criteria have expanded over time to capture a “spectrum,” the DSM-5 (APA, 2013) still defines autism exclusively through deficits: in communication, social reciprocity, and restricted interests. This framing assumes that neurotypicality is the default, positioning autistic people as inherently broken or incomplete.
Such definitions are not neutral. As Foucault (1977) teaches us, classification systems serve power. They create categories that allow institutions to surveil, discipline, and intervene. The diagnosis of autism—while sometimes a necessary means to access services—also subjects individuals to a range of gatekeeping practices. Schools may require formal diagnoses to offer accommodations. Insurance companies determine treatment eligibility based on diagnostic coding. These systems often prioritize compliance over care, and performance over understanding (Eyal et al., 2010; Davis, 2023).
One of the most pervasive manifestations of this institutional power is the enforcement of behavioral norms through Applied Behavior Analysis (ABA). Although marketed as evidence-based and effective, ABA has been critiqued as a method of normalization rooted in control rather than consent (Sandoval-Norton & Shkedy, 2019). Autistic adults who underwent ABA have described the experience as traumatic, likening it to conversion therapy (Bascom, 2012; Dawson, 2004). Yet ABA remains one of the most widely funded and promoted interventions for autistic children in the U.S.
Medicalization also intersects with economic and legal systems. In the U.S., autism services are often mediated through insurance mandates, Individualized Education Plans (IEPs), and disability law. While these structures are meant to ensure equity, they frequently produce the opposite—offering support only to those who can navigate the bureaucracy, afford legal advocacy, or meet rigid eligibility criteria (Bagenstos, 2004; Thomas & Morgan, 2021). Those who are multiply marginalized—by race, class, gender, or language—often fall through the cracks.
The medical-industrial complex treats autism as a site of intervention and profit. Pharmaceutical companies, behavioral therapy providers, and private diagnostic centers all benefit from the continued framing of autism as a disorder that must be managed. This commodification of care can obscure the fact that many of the challenges autistic people face are not innate, but systemic barriers created by an inflexible world that demands conformity (Brown & Leigh, 2018; Leadbitter et al., 2021).
Institutional power doesn’t just shape services—it shapes identity. Autistic individuals are often first introduced to their neurology through clinical reports, IEP meetings, or eligibility assessments. These settings rarely affirm autistic strengths, cultural identity, or lived experience. Instead, they reproduce narratives of limitation. As Davidson and Henderson (2010) point out, many autistic adults describe their diagnosis as both a revelation and a reduction—a moment of clarity marred by pathologizing language and deficit framing.
To challenge the institutional power of medicalization, we must first understand its mechanisms: the language it uses, the structures it upholds, and the lives it polices. Only then can we begin to imagine—and build—alternative systems rooted in equity, dignity, and relational belonging.
Racial, Cultural, and Gender-Based Diagnostic Disparities
The diagnostic apparatus surrounding autism does not operate equally across all populations. While the clinical definitions may appear objective, the systems through which diagnosis and support are accessed are deeply racialized, classed, gendered, and culturally biased. These inequities are not incidental—they are structural. They reveal how the framing of autism reflects broader systems of oppression, particularly those rooted in whiteness, Western cultural norms, and cisheteropatriarchy (Botha & Frost, 2020; Davis et al., 2024).
In the United States, Black, Latinx, and Indigenous children are routinely underdiagnosed or misdiagnosed, often receiving labels like behavioral disorder, ADHD, or intellectual disability before autism is even considered (Mandell et al., 2009; Mandell et al., 2007). These misdiagnoses are not simply clinical oversights—they are the result of implicit bias, cultural misunderstandings, and systemic racism in health and education systems. Children of color are less likely to be referred for early screening and more likely to be disciplined or criminalized for behaviors that would be read as autistic in white children (Davis et al., 2024; Zuckerman et al., 2013).
Even when diagnoses are made, services are not equitably distributed. Low-income families face long waitlists, limited provider availability, and complex systems that require high levels of advocacy literacy. Language barriers and immigration status create additional layers of exclusion. As Mandell et al. (2009) note, diagnostic frameworks and interventions are often based on Western developmental norms that fail to account for cultural variations in communication, parenting, or community values.
Gender disparities in diagnosis are equally pronounced. Historically, autism was framed through male presentations—driven by studies that sampled predominantly white boys. This male-centric model has rendered many autistic women, girls, and nonbinary individuals invisible. Those who do not fit the stereotypical traits (e.g., poor eye contact, restricted interests in objects) are often dismissed or misread as anxious, shy, or emotionally unstable (Bargiela et al., 2016; Hull et al., 2020).
The phenomenon of “camouflaging” further complicates this picture. Autistic individuals who mask their traits in order to conform to social expectations often go undetected in clinical settings. Camouflaging has been linked to delayed diagnosis, mental health issues, and burnout—especially among AFAB and gender-diverse populations (Lai et al., 2016; Pearson & Rose, 2021). Yet the DSM criteria make no accommodation for these patterns, reinforcing a narrow, androcentric model of autism.
Intersectionality—originally theorized by Crenshaw (1989)—offers a critical framework for understanding these disparities. When race, gender, class, disability, and neurotype intersect, the risk of diagnostic exclusion increases exponentially. Black autistic girls, for example, may be simultaneously over-policed, underdiagnosed, and denied access to services. Their behaviors are not read through a developmental lens, but through a lens of threat or deficiency (Burkett et al., 2015; Davis et al., 2024).
Despite these well-documented disparities, the dominant research and diagnostic literature often treat race, class, and gender as peripheral variables rather than core determinants of access and experience. This reflects a broader epistemic injustice—one in which the voices of multiply-marginalized autistic individuals are excluded from shaping the very systems that define them (Fricker, 2007; Chapman & Carel, 2022).
The failure to address these disparities is not just an issue of equity—it is a failure of validity. Any model that claims to understand autism must account for how culture, power, and context shape both behavior and interpretation. Without this, diagnoses will continue to replicate systems of exclusion under the guise of neutrality. The need for a more expansive, relational, and culturally inclusive model of autism is urgent—and foundational to the development of the Cognitive Ecology Model.
The Rise—and Limits—of Neurodiversity Discourse
In response to the deeply entrenched medicalization and deficit framing of autism, the neurodiversity movement emerged as a powerful counter-narrative. Coined by Judy Singer in the late 1990s, “neurodiversity” reframes autism—not as a pathology to be cured, but as a natural and valuable variation in human cognitive functioning (Singer, 1998; Walker, 2021). The movement draws heavily from disability rights activism, particularly the social and relational models of disability, and emphasizes that the problem lies not in autistic people but in the structures that fail to accommodate them (Oliver, 1990; Baglieri & Shapiro, 2017).
The neurodiversity paradigm has had a profound cultural impact. Autistic advocates and scholars have pushed back against dehumanizing language, challenged the ethics of “treatment” models like ABA, and reasserted their right to define their own identities (Kapp, 2020; Bascom, 2012). Platforms such as Loud Hands (Bascom, 2012), Disability Studies Quarterly, and independent blogs have created space for autistic people to speak for themselves, rather than being spoken for. In doing so, they have shifted public conversations and forced researchers to reconsider the ethics and aims of autism science (Pellicano & Stears, 2014; Pukki et al., 2022).
However, as the movement has grown, so have its contradictions. One key critique is that neurodiversity discourse, while liberatory in theory, often defaults to white, verbal, cisgender representations of autism in practice. The figure of the “quirky genius” or the “high-functioning advocate” has been used to make autism more palatable to the public, but it risks marginalizing those whose needs are greater or whose communication is nonspeaking, embodied, or culturally distinct (Baruncic, 2019; Brown & Leigh, 2018).
There is also a growing concern that neurodiversity is being co-opted by institutions that previously upheld the very deficit models it sought to dismantle. Organizations and researchers now brand themselves as “neurodiversity-affirming” without making meaningful structural changes. This creates a superficial form of inclusion that leaves systems of gatekeeping intact (Botha, 2021; Anderson-Chavarria, 2021). The language shifts, but the power dynamics remain.
Moreover, the binary opposition between “medical model” and “neurodiversity model” can itself be limiting. As Chapman (2020) argues, such dichotomies can flatten the complexity of lived experience and fail to account for the relational, intersectional, and ecological dimensions of autism. Some individuals do experience autism as profoundly disabling and require significant support—yet they also seek respect, autonomy, and a voice in shaping that support. The question, then, is not whether autism is a difference or a disability, but how it is situated in context.
Another limit of the neurodiversity discourse is its emphasis on identity over systems. While reclaiming autistic identity is vital, doing so without a corresponding critique of capitalism, white supremacy, and cisheteropatriarchy risks reproducing the very conditions that marginalize neurodivergent people (Mingus, 2017; Schalk, 2018). A purely individual or celebratory framing can obscure the structural violence that continues to shape autistic lives—particularly for those who are Black, Indigenous, poor, or multiply disabled.
These critiques are not rejections of neurodiversity but calls to deepen it. They ask us to move beyond symbolic inclusion and toward relational, material, and political transformation. As Botha and Gillespie-Lynch (2022) note, truly liberatory models of autism must center intersectionality, lived experience, and participatory knowledge production—not just better representation within existing structures, but new structures altogether.
The Cognitive Ecology Model builds on these insights. It honors the foundations laid by neurodiversity advocates while addressing the limitations of a movement that has, at times, been flattened by institutional uptake. Where the neurodiversity paradigm challenged pathology, CEM challenges the systems that define and manage difference altogether. It moves us from static identity to dynamic relationality—from awareness to accountability.
Critical and Intersectional Responses
As the neurodiversity movement matured, a wave of critical scholarship and activism emerged to expand, challenge, and complexify its premises. These thinkers—many of them autistic, multiply marginalized, and rooted in disability justice—have called attention to the ways in which even liberatory discourses can exclude, flatten, or reproduce harm when they fail to account for systemic complexity. Intersectionality, relationality, and epistemic justice have become vital lenses for understanding autism in the context of real lives and real power dynamics.
Building on the foundational work of Kimberlé Crenshaw (1989), intersectionality theory asserts that identities and systems of oppression do not operate in isolation. An autistic person is not just autistic; they may also be Black, trans, undocumented, or poor—and these identities are not additive but interwoven. For example, Black autistic youth are more likely to be criminalized than supported, their behaviors interpreted as defiance or danger rather than as expressions of distress or neurodivergence (Davis et al., 2024; Dubin, 2021).
Autistic women, nonbinary people, and trans individuals often remain undiagnosed due to gendered assumptions embedded in diagnostic frameworks. Many mask their traits or develop compensatory strategies, which delay recognition and increase vulnerability to trauma, depression, and burnout (Bargiela et al., 2016; Hull et al., 2020). These forms of “invisibility” are not accidental—they are produced by systems that assume white, cisgender, and male as the diagnostic default.
This complexity is not limited to identity—it extends to knowledge itself. Scholars like Fricker (2007) and Chapman & Carel (2022) have drawn attention to epistemic injustice: the systematic devaluation of marginalized people as knowers. In autism research, this plays out in the frequent dismissal of lived experience, the prioritization of “objective” outsider narratives, and the resistance to participatory, co-produced models of inquiry (Raymaker & Nicolaidis, 2013). Autistic voices are often included as anecdotes, but rarely as epistemic authorities.
Monique Botha (2025) advances this argument by proposing a justice-oriented philosophy of science rooted in critical realism and community psychology. She contends that dominant paradigms in autism research—particularly positivist and constructivist traditions—have failed to account for the socially embedded and relational nature of autistic life. Instead, she argues for a participatory model that centers epistemic justice and the co-creation of knowledge. “Given that knowledge is embedded,” Botha writes, “it then only makes sense to heavily involve members of impacted communities throughout all stages of research processes” (p. 6). This perspective aligns directly with the Cognitive Ecology Model, which recognizes that systems of meaning, support, and intervention must be co-designed with those most affected, not imposed upon them.
Critical Autism Studies (CAS) has emerged as a response to these dynamics, blending disability theory, feminist epistemology, and postcolonial critique to interrogate how autism is produced, studied, and responded to. CAS scholars argue that autism is not a fixed biological entity but a socially and discursively constructed category—one that has material consequences but is deeply shaped by context, power, and interpretation (Davidson & Orsini, 2013; O’Dell et al., 2016).
This framing opens space for alternative models. It allows us to ask: What if autism is not a problem within individuals, but a mismatch between diverse ways of being and rigid social systems? What if our goal is not normalization but relational adaptation? What if diagnosis is less about truth and more about legitimacy, access, or survival?
Such questions point toward a new paradigm—one rooted in mutuality, co-construction, and systemic reflection. Rather than merely expanding existing categories, critical and intersectional perspectives invite us to imagine new relational architectures of meaning, support, and belonging. They call for models that do not just name oppression but interrupt it—models that understand neurodivergence as part of a broader ecosystem of human variation and social entanglement.
It is in this spirit that the Cognitive Ecology Model was born—not as a rejection of neurodiversity or critical theory, but as a synthesis that attempts to operationalize their deepest insights into a usable framework for healing, understanding, and transformation.
The Discursive Gap — Why We Need a New Model
Despite the important gains of the neurodiversity movement and the sharp critiques emerging from Critical Autism Studies, a significant gap remains in the way autism is understood, framed, and responded to across systems. This gap is not merely intellectual—it is embodied, lived, and felt. It is present in the exhaustion of late-diagnosed adults navigating burnout. It is present in the frustration of families encountering rigid educational structures. It is present in the silencing of nonspeaking individuals whose modes of communication fall outside neurotypical legibility. And it is present in the absence of comprehensive models that integrate trauma, context, systems, and lived experience.
Most existing frameworks—whether clinical, neurodiversity-informed, or academic—remain siloed. The medical model focuses on internal deficits and individual treatment plans. The neurodiversity model, while affirming, often remains abstract, emphasizing identity politics without fully addressing material needs or structural change. Critical discourse scholarship offers powerful insights into how knowledge is shaped by power, but it often lacks practical tools for those seeking to navigate or transform the systems in which they are embedded. What is missing is a model that bridges theory and practice, lived experience and structure, individual and system.
This gap is further illuminated by recent findings in autism genetics. A groundbreaking study (Litman et al., 2025) identified four clinically relevant autism subtypes, each linked to distinct genetic programs and developmental timing across brain systems. By demonstrating that genetic influences on autism are context-dependent and emerge through dynamic systems of interaction, this research challenges static, deterministic models. It affirms the Cognitive Ecology Model’s emphasis on relational context, ecological fit, and nested systems of development, emphasizing that autism must be understood through dynamic, systemic processes, not just individual traits. This molecular evidence reinforces the urgency for models that integrate biology, context, and lived experience.
The discursive gap also reveals itself in moments of contradiction. For example, we may hear the same systems that once enforced ABA now tout themselves as “neurodiversity-affirming.” Researchers publish about autistic masking while still using person-first language. Schools teach “awareness” campaigns that replicate stereotypes. These contradictions are not incidental—they reflect the absorption of liberatory language into systems that have not meaningfully transformed (Botha, 2021; Chapman, 2020).
Another layer of the gap lies in the fragmented way support needs are categorized. Autistic people are often forced to choose between being “high-functioning” enough to be respected or “low-functioning” enough to receive support. This binary fails to account for the fluctuating, contextual nature of needs. It also obscures the cumulative impact of trauma, systemic injustice, and burnout—factors that profoundly shape how one experiences and expresses their neurotype (Raymaker et al., 2020; Pearson & Rose, 2021).
There is also a gap in how knowledge is created and validated. Despite growing calls for participatory research and co-production, autistic people are still more often studied than engaged as equals. Lived experience is welcomed rhetorically, but rarely funded, cited, or centered. The result is a double bind: to gain legitimacy, autistic individuals must adopt the very language and norms that excluded them to begin with (Fricker, 2007; Pukki et al., 2022).
Finally, the discursive gap is spiritual. Many autistic people describe their experiences in terms of meaning, depth, and relational connectedness. Yet these dimensions are rarely explored in academic literature or clinical practice. There is little space for conversations about intuition, sensory beauty, existential grief, or spiritual awakening—despite their centrality to many autistic lives (Yergeau, 2018; Davidson, 2010). These elements are not peripheral—they are integral to a holistic understanding of what it means to be neurodivergent.
What is needed, then, is not simply a new label or an improved framework—but an entirely different approach. One that moves beyond linear developmental trajectories, deficit taxonomies, or identity binaries. One that can hold paradox, emergence, and complexity. One that centers the question: What do systems of support look like when we start from belonging rather than correction?
The Cognitive Ecology Model (CEM) is offered as a response to this gap. It is a generative framework rooted in lived experience, ecological systems theory, trauma healing, and relational epistemology. It seeks not to replace existing paradigms but to integrate and evolve them—providing a bridge between discourse and praxis, critique and construction, individuality and collective transformation.
Toward the Cognitive Ecology Model
If autism has been framed through deficit, exclusion, and control, and if even liberatory narratives risk becoming flattened or co-opted, then what becomes possible when we reframe neurodivergence from the ground up? This is the core question that led to the development of the Cognitive Ecology Model (CEM). Rather than seeing autism as something to be diagnosed, categorized, or even “celebrated” in a symbolic sense, CEM begins with relationship: to self, to others, to environment, and to systems.
The model emerged not as a theory written in isolation, but through recursive, lived exploration—what Freire (1970) might call praxis: the continuous integration of reflection and action. It was shaped by personal healing, collective dialogue, systems design, and direct resistance to institutional harm. It is both an epistemological response to exclusion and a methodological proposal for how we might do better—individually, relationally, and societally.
CEM draws on ecological systems theory (Bronfenbrenner, 1979), relational ontology, and trauma-informed practices to articulate a model that is less about defining people and more about mapping the conditions that shape their expression. It invites us to ask: What happens when we consider support needs not as traits of the individual, but as dynamic relationships between people and environments? What if “functioning” is a measure of fit, not capability?
In CEM, identity is not fixed, but emergent. Autism is not simply a neurotype, but a way of being shaped through time, experience, and interaction. Diagnosis may serve as a doorway, but it is not the whole path. The model recognizes masking, burnout, and resilience not as indicators of function, but as signals of ecological disruption—of systems failing to nourish the people within them.
CEM is also explicitly spiritual in orientation—not in a doctrinal sense, but in its commitment to wholeness, interdependence, and belonging. It holds space for intuition, grief, and transformation. It honors autistic cognition as a form of insight and coherence that can be disorienting in a disordered world. In doing so, it departs from both the clinical lens and the performative inclusivity of neurodiversity branding. It offers something else entirely: a map for returning to ourselves and to one another.
This model does not ask to be adopted uncritically. It is not a new orthodoxy. It is an offering—a conversation, a pattern, a possible path. What follows is both a theoretical exposition of the Cognitive Ecology Model and an applied exploration through a 25-session public workshop designed to test its resonance, accessibility, and transformative potential.
Introducing Exclusion Feedback Synpraxis (EFS): Mapping Insight from Margins
Exclusion Feedback Synpraxis (EFS) is not a new discovery—but a name I’ve offered to something many communities, traditions, and lineages have long known, lived, and practiced. The term synpraxis—meaning shared, evolving practice—emerged as a way to articulate a pattern I recognized through lived experience and participatory dialogue: that exclusion often signals deeper systemic misalignment, and that those pushed to the margins are often carrying essential insight.
EFS reframes exclusion not as personal failure, but as patterned feedback. It invites us to ask:
- What if your difference is data?
- What if the rupture reveals design flaws in the system—not in you?
- What if the very traits you were punished for are the ones most needed for collective growth?
This framework does not replace ancestral, Indigenous, or community-based wisdom. Instead, it honors and weaves those threads together through language that resonates across disciplines. EFS is not a claim to authorship—it is a bridge. A lens for seeing how rupture can generate relational repair, and how insight often lives inside disruption.
In EFS, exclusion is not a static state—it is a feedback loop. It reveals the fault lines in dominant paradigms and invites emergent, embodied responses that birth new forms of understanding. When metabolized through reflective praxis—especially in community—exclusion can become a site of innovation, re-patterning, and structural reimagination.
EFS lives at the intersection of trauma theory, neurodiversity, and liberation psychology. It draws on the insight that those most excluded are often those holding the blueprint for transformation. The co-emergence of Resonant Cognitive Architecture (de Beer & Griffin, 2025) is one such example—a synthesis born not from ownership, but from mutual recognition and co-creation. A theory neither could have authored alone.
As one reflective journal entry from the workshop stated:
"Sometimes I think the exclusion was the catalyst. I wouldn't have needed to build this if I had been allowed to belong. But now that it's here, it's mine. It's ours. It's a map we made together.”
Let us begin with the model itself.
Chapter 4
The Cognitive Ecology Model — Mapping Neurodivergence as Emergence
The Cognitive Ecology Model (CEM) was developed in response to the profound limitations of existing autism and neurodivergence frameworks. While the medical model pathologizes and isolates, and while the neurodiversity movement affirms identity but often flattens complexity, CEM aims to provide a third path. It is a systems-aware, trauma-informed, and context-responsive model that understands neurodivergence not as a fixed trait, but as an emergent, relational expression that arises from the dynamic interplay between self and environment.
Rather than classifying individuals, CEM seeks to map patterns—ecologies of experience that shift across time, relationships, and systems. It recognizes that what appears as dysfunction is often a symptom of misfit, and that the true measure of thriving is not how well someone conforms, but how well the system flexes to meet their truth. While the Cognitive Ecology Model uses the term neurodivergent to encompass a range of cognitive identities, it is informed by a neuroqueer sensibility—resisting linearity, embracing fluidity, and centering relational expression over normative development.
The Model’s Origin and Purpose
CEM was born from a convergence of critical discourse analysis, lived experience, systems thinking, and pedagogical practice. It emerged through iterative reflection during the creation and facilitation of a 25-session public workshop titled Transformative Education for Neurodivergent Liberation. As participants engaged, patterns became clear—of disconnection, burnout, late recognition, and systemic exclusion. These patterns could not be explained by internal pathology alone; they demanded a framework capable of holding trauma, adaptation, relational rupture, and systemic failure as part of the neurodivergent experience. As Baruncic (2019) argues, failure to contextualize autistic experience within broader epistemic systems perpetuates the harm of dominant deficit models.
CEM is not diagnostic. It is not a replacement for clinical models. Instead, it is an overlay—a relational map for individuals, families, educators, and organizations to better understand where tension arises, what support is missing, and how systems might adapt.
Core Assumptions and Principles
CEM is built on the following foundational assumptions:
- Neurodivergence is contextual. It emerges through interaction with systemic, cultural, and relational forces.
- Support needs are ecological. They are not inherent to the individual but shaped by environment and fit.
Trauma and masking distort self-perception. Many neurodivergent people internalize pathology when systems fail them. This internalization reflects a form of epistemic injustice—where neurodivergent individuals are denied recognition as credible knowers of their own experience (Chapman & Carel, 2022).
Diagnosis is often delayed or denied. Late recognition shape identity, access, and survival strategies.
Belonging must be built. It does not emerge through awareness campaigns or inclusion checkboxes, but through co-created systems.
The Five Layers of Cognitive Ecology
Before exploring the individual layers of the Cognitive Ecology Model (CEM), it is essential to understand how these layers interact and why they are necessary for reframing neurodivergence as an ecological rather than an isolated neurological phenomenon.
CEM proposes that autistic cognition is not static or inherent but emerges through a dynamic interplay between individuals and their environments (Clark, 2008; Varela, Thompson, & Rosch, 1991). By structuring neurodivergence within multiple systemic layers, this model highlights how barriers to recognition, diagnosis, and support are embedded within social, institutional, and structural frameworks rather than residing solely within the individual (Chapman, 2020; Pellicano & den Houting, 2022).
This systemic misalignment contributes to the widespread erasure of late-identified individuals, reinforcing narratives that position autism as a childhood condition rather than a lifespan-based cognitive style (Kapp, 2020; Botha & Gillespie-Lynch, 2022). Late-diagnosed individuals often struggle with validation, self-trust, and access to accommodations—not because they are inherently difficult to identify, but because the systems that define, diagnose, and support neurodivergence have not been designed to recognize diverse cognitive expressions (Hull et al., 2020; Nicolaidis et al., 2019).
By mapping these five interwoven layers, CEM provides a framework for analyzing how neurodivergence is both shaped by and shapes its surrounding environment. This perspective enables systemic redesign, moving beyond accommodation-based approaches toward structural transformation that supports autistic thriving.
The Cognitive Ecology Model is composed of five interactive layers, each representing a system that influences neurodivergent expression. These layers are not hierarchical—they are entangled. Together, they shape whether a person experiences connection or rupture, adaptation or burnout, clarity or confusion.
Figure 1: Cognitive Ecology Model and Feedback Loop
This figure depicts the five interactive layers of the Cognitive Ecology Model (CEM) and their recursive relationship with Exclusion Feedback Synpraxis (EFS), a process through which exclusion catalyzes insight, co-creation, and structural transformation.
CEM structures neurodivergence into five distinct yet interdependent layers, each representing a different level of systemic influence on autistic experience. These layers help explain why late diagnosis occurs, why many autistic individuals struggle in existing societal structures, and how systems must adapt to foster inclusion (Botha et al., 2021).
Table 1: The Five Layers of the Cognitive Ecology Model (CEM)
| Layer | Systemic Influence on Neurodivergence | Impact of Late Diagnosis |
|---|
| Individual | Cognitive processing, sensory experiences, communication styles. | Without recognition, individuals mask, compensate, and internalize pathology. Many believe they are inconsistent or unreliable rather than recognizing their cognition as adaptive. |
| Relational (Interpersonal) | Family, friendships, workplace dynamics. | Late-diagnosed individuals often struggle with validation and self-trust in relationships. Their intensity is frequently misinterpreted as "too much"rather than an expression of deep engagement. |
| Institutional (Education, Healthcare, Workplace) | Policies, accommodations, and support structures. | Late diagnosis leads to a lack of access to educational supports, workplace accommodations, and medical recognition. Many experience academic challenges without understanding their cognitive needs. |
| Cultural (Media, Norms, Representation) | Public perceptions of neurodivergence. | Late-diagnosed individuals often feel erased, as dominant narratives focus primarily on early-diagnosed children. The lack of representation delays self-recognition and advocacy. |
| Structural (Policy, Governance, Capitalism) | Defines who is included, excluded, or pathologized. | Late-diagnosed individuals navigate systems that were not built for them, often without accommodations or validation. Productivity-based employment models penalize neurodivergent cognitive rhythms, leading to burnout. |
This multi-layered model enables a comprehensive analysis of how neurodivergent experiences are produced, constrained, and shaped by systemic structures. Rather than assuming autism exists in isolation, CEM emphasizes the interconnected nature of cognition, relationships, and institutions.
Traditional models frame late diagnosis as an individual failure, assuming that those diagnosed later in life were simply "missed" due to their ability to mask or "function well enough" in society (Pearson & Rose, 2021). However, CEM challenges this narrative by illustrating how late diagnosis is a systemic failure, not an individual shortcoming.
Key Systemic Barriers to Recognition
Autistic individuals are not inherently “hard to diagnose.” Rather, dominant diagnostic frameworks fail to recognize the full spectrum of neurodivergence, particularly in populations that do not fit the stereotypical image of autism (e.g., women, nonbinary people, people of color, and those without access to early intervention services) (Lai & Szatmari, 2020).
The absence of representation in media, research, and clinical frameworks reinforces a narrow view of autism, making it difficult for individuals to recognize themselves as neurodivergent until much later in life (Botha et al., 2021).
Systemic barriers such as medical gatekeeping, rigid diagnostic criteria, and a reliance on childhood-focused intervention models prevent many individuals from accessing a diagnosis and necessary support (Nicolaidis et al., 2019).
By recognizing these interwoven layers, CEM moves beyond a one-dimensional understanding of autism and instead presents it as an emergent phenomenon influenced by dynamic systemic interactions.
Chapter 5
Layer One – Neurodivergence as an Emergent Cognitive Process “Neurodivergence is not a set of fixed trait—it is an evolving process shaped by interactions
between the brain, body, and environment.”
Historically, autism has been framed as a set of static impairments—an intrinsic dysfunction rooted in the individual. Traditional deficit-based models characterize executive dysfunction, sensory sensitivity, and social challenges as internal limitations (Demetriou, DeMayo, & Guastella, 2019; Bogdashina, 2016; Milton, 2012). This framing isolates autistic individuals from their contexts, flattening their experience into a medicalized narrative.
The Cognitive Ecology Model (CEM) offers an alternative lens. Rather than viewing cognition as fixed and internal, CEM recognizes neurodivergence as emergent, relational, and fluid—deeply influenced by social, environmental, and systemic conditions (Varela, Thompson, & Rosch, 1991; Clark, 2008).
From this perspective, cognitive traits do not exist in isolation. Executive functioning, sensory processing, and communication are not solely personal traits but outcomes of complex interactions between individuals and their ecological surroundings (Gallagher, 2017; Pellicano & den Houting, 2022). What is often labeled “deficit” is frequently a mismatch between the individual and the system.
The Cognitive Ecology Model: A Shift from Deficit to Relational Cognition
The Cognitive Ecology Model (CEM) reframes autistic cognition as an ecological phenomenon—not a set of traits fixed within the brain, but a dynamic interaction between neurology, environment, and systemic forces. Drawing on theories of embodied and extended cognition (Clark, 2008; Varela, Thompson, & Rosch, 1991), CEM challenges static models that isolate individuals from the worlds they inhabit.
Autistic cognition, in this view, emerges through relational feedback loops. The way a person thinks, communicates, and processes is shaped by surrounding conditions: sensory input, social expectations, institutional structures, and cultural norms.
Key Principles of Layer 1:
Cognition is Contextual: It shifts with environmental conditions and does not reflect an inherent deficiency (Gallagher, 2017).
Executive Function and Sensory Regulation are Relational: Traits like executive dysfunction or sensory overload result from interactions with inflexible or inaccessible environments—not from internal pathology (Pellicano & den Houting, 2022).
Misfit, Not Malfunction: Rather than asking “What’s wrong with the autistic brain?” we must ask: “What conditions support or obstruct autistic cognition?”
By shifting the unit of analysis from “defective brain” to “misaligned system,” CEM invites a more accurate, compassionate, and functional approach to supporting neurodivergent individuals.
Cognition Is Not Static—It Shifts Based on Context
“My ability to think, communicate, and self-regulate does not come just from within—it emerges from my surroundings.”
Traditional autism models assume that traits such as executive functioning, sensory processing, and verbal fluency remain consistent across time and space. However, emerging research in embodied cognition reveals that cognitive performance is fluid, changing in direct response to environmental affordances (Gallagher, 2017; Kiverstein & Clark, 2009).
Instead of framing variability as inconsistency or dysfunction, CEM interprets these shifts as ecological responses. Autistic cognition fluctuates depending on sensory input, social context, and structural demands.
Table 2: Environmental Factors That Influence Cognitive Processing
| External Condition | Impact on Cognitive Performance |
|---|
| Sensory Environment (e.g., lighting, noise) | Shapes sensory load, influences regulation, clarity, and stress (Bogdashina, 2016). |
| Social Expectations (e.g., ambiguity, masking) | Dictate cognitive effort required for communication and self-presentation (Milton, 2012). |
| Task Structure (e.g., flexible vs. rigid) | Influences executive functioning and cognitive accessibility (Pellicano & den Houting, 2022). |
Cognitive Load and the “Energy Budget” Model
Cognitive load refers to the total mental effort required to function in a given context. For autistic individuals, environments that require sustained masking, sensory suppression, or emotional code-switching deplete cognitive resources quickly (Demetriou, DeMayo, & Guastella, 2019).
“Autistic cognition operates on an energy budget. The more energy spent navigating misaligned environments, the less is available for thinking, processing, or speaking.”
Table 3: How Cognitive Load Impacts Autistic Functioning
| Energy Spent On... | Impact on Cognitive Resources |
|---|
| Managing sensory overwhelm | Reduces focus and emotional regulation. |
| Masking & social code-switching | Increases fatigue; reduces working memory and verbal fluency (Pearson & Rose, 2021). |
| Navigating rigid structures | Impairs creativity and adaptability. |
| Physical stress or co-occurring conditions | Diminishes clarity, coordination, and self-regulation (Casanova et al., 2020). |
When cognitive load exceeds capacity, individuals may experience burnout, shutdown, or temporary regression (Raymaker & Teo, 2020).
The Inconsistency Paradox — A Case Study in Relational Cognition
“Some days, I can articulate complex theories. Other days, I can’t form a sentence. The difference isn’t my intelligence—it’s my environment.”
Many late-diagnosed autistic individuals report cognitive performance that fluctuates dramatically. In deficit-based models, this inconsistency is often pathologized—framed as laziness, unreliability, or executive dysfunction. From a CEM perspective, however, these fluctuations are not internal failures but ecological responses to shifting conditions (Pellicano & den Houting, 2022; Gallagher, 2017).
How Environmental Context Shapes Cognitive States
Instead of asking why an autistic person struggles with verbal expression or task initiation on a given day, CEM asks: “What conditions were present that shaped their cognitive functioning?”
Table 4: Environmental Contexts and Their Cognitive Outcomes
| Scenario | Environmental Features | Cognitive Impact |
|---|
| Traditional Workplace Meeting | Open office, harsh lighting, social unpredictability, ambiguous expectations | Sensory overload, verbal shutdown, perceived as disengaged |
| Self-Directed Research Session | Quiet space, soft lighting, predictable structure, autonomy to stim and move | Deep focus, analytical clarity, sustained attention |
“Same person. Same brain. Entirely different performance.”
These examples illustrate that what’s often labeled as inconsistency is, in reality, a response to misalignment between an individual’s cognitive style and their environment (Clark, 2008; Kiverstein & Clark, 2009).
The Problem with Consistency Expectations
Most neurotypical institutions—schools, workplaces, medical systems—are built on an assumption of stable, predictable performance. This creates harmful narratives around autistic individuals:
“If you could do it yesterday, why can’t you do it today?”
“You just need to try harder to be consistent.”
“You’re unreliable.”
These interpretations ignore the relational nature of cognition and place blame on individuals for systemic failures (Pearson & Rose, 2021).
“If you put a fish on land, you wouldn’t criticize it for struggling to breathe. Yet we expect autistic people to thrive in conditions designed against them.”
Reframing “Inconsistency” as Ecological Mismatch
Rather than asking: “Why are autistic people inconsistent?” CEM asks: “Why do our systems demand consistency in environments that are misaligned with neurodivergent cognition?”
Table 5: Deficit Model vs. CEM Perspective
| Deficit-Based View | CEM Perspective |
|---|
| Executive dysfunction is an internal impairment | Executive function shifts based on environmental conditions (Demetriou et al., 2019) |
| Verbal processing struggles reflect low intelligence | Verbal clarity fluctuates with sensory/social load (Hull et al., 2017) |
| Inconsistency equals unreliability | Cognitive shifts are relational, not defects (Botha & Gillespie-Lynch, 2022) |
This shift from pathologizing to contextualizing is at the heart of CEM—and it forms the foundation for understanding why masking, burnout, and late diagnosis are not anomalies but expected outcomes in misaligned systems.
Masking, Late Diagnosis, and the Internalization of Pathology
“I spent decades believing my struggles were personal failures—until I realized they were systemic.”
Masking refers to the suppression of natural cognitive, sensory, and communication patterns in order to conform to neurotypical expectations. For many late-diagnosed autistic individuals, masking is not a choice—it is a survival strategy in environments that fail to accommodate neurodivergent expression (Hull et al., 2017).
Rather than viewing masking as a skill, CEM frames it as an ecological response to systemic exclusion. Individuals mask to avoid social rejection, employment discrimination, or medical invalidation (Milton, 2012).
Table 6: Traditional vs. CEM Perspectives on Masking
| Traditional View | CEM Perspective |
|---|
| Masking is an individual adaptation | Masking is a relational burden required in exclusionary systems |
| It helps autistic people “blend in” | It contributes to burnout, identity erosion, and delayed diagnosis |
| Viewed as a coping mechanism | Understood as a forced neuroadaptive strategy due to systemic misfit |
“Masking is not a failure to be authentic—it is a cost extracted by a world that refuses to adapt.”
Psychological Costs of Chronic Masking
1. Cognitive exhaustion and burnout.
- Continual self-monitoring drains executive resources
- Sensory regulation becomes increasingly difficult
- Chronic stress leads to shutdowns, dissociation, and fatigue (Pearson & Rose, 2021)
2. Delayed diagnosis and self-doubt.
Masking often leads to misdiagnosis or invisibility in clinical settings, particularly for women, nonbinary individuals, and autistic people of color (Hull et al., 2020; Morgan et al., 2017).
3. Internalized pathology.
When neurodivergent traits are never validated, individuals interpret them as personal flaws—fueling perfectionism, people-pleasing, or emotional withdrawal (Kapp, 2020).
“I wasn’t broken. I was misrecognized—by systems that weren’t built to see me.”
Table 7: Intersectional Barriers to Recognition
| Group | Heightened Risk of Misrecognition |
|---|
| Women & Nonbinary People | Gender norms pressure them to mask and appear “socially intuitive” (Hull et al., 2020) |
| Black, Brown, and Indigenous Autistics | More likely to be misdiagnosed with behavioral or oppositional disorders (Morgan et al., 2017) |
| Economically Disadvantaged | Limited access to formal diagnosis or neurodivergent-affirming spaces (Nicolaidis et al., 2015) |
“These individuals are not ‘missed’ because they are invisible—they are excluded because the system was not designed for them.”
Critical Analysis — Intersectionality and the Limits of CEM
While CEM offers a powerful reframing of autistic cognition, it must be refined to fully address intersectionality, trauma, and structural power. Without such integration, CEM risks replicating the same exclusions it seeks to challenge (Chapman & Carel, 2022; Davis et al., 2022, 2024)
Table 8: What CEM Misses Without Intersectionality
| Gap | Implication |
|---|
| Assumes access to supportive environments | Ignores how economic precarity limits options |
| Overemphasizes cognitive adaptability | Overlooks long-term effects of trauma and chronic stress (Raymaker & Teo, 2020) |
| Focuses on neurodivergence in Western frameworks | Misses cultural variation in cognition and adaptation (Rosqvist, Brownlow, & O’Dell, 2020) |
“A liberatory model must serve those most impacted—not just those already halfway included.”
Table 9: Identity Factors That Reshape Cognitive Function
| Factor | Impact on Cognition |
|---|
| Gender | Increased masking demands, higher risk of burnout (Hull et al., 2017) |
| Race | Cognitive adaptation becomes survival in contexts of surveillance or criminalization (Davis et al., 2024) |
| Class | Fewer choices in work/school environments, leading to heightened cognitive strain (Nicolaidis et al., 2015) |
CEM must integrate these dynamics to avoid flattening the experience of neurodivergent individuals across vastly different social contexts.
Practical Implementation — Designing for Cognitive Liberation
“If cognition is ecological, then support must be environmental.”
CEM’s most impactful contribution is not theoretical—it is practical. Once we understand cognition as relational and emergent, the question becomes: “How do we redesign environments to support autistic individuals in real time?”
Table 10: Environmental Design for Cognitive Optimization
| Environmental Factor | CEM-Aligned Intervention |
|---|
| Lighting Sensitivity | Use adjustable, soft lighting instead of fluorescent bulbs (Bogdashina, 2016) |
| Noise Overload | Provide noise-canceling tools or quiet workspaces |
| Sensory Overwhelm | Allow movement breaks, stim tools, and customizable seating |
| Task Rigidity | Replace strict schedules with flexible workflows (Pellicano & den Houting, 2022) |
Task Structuring for Executive Function
Neurotypical productivity models (e.g., 9–5 workdays, long meetings, rigid task lists) often clash with autistic cognitive rhythms. CEM encourages:
Hyperfocus-friendly work sprints
Nonlinear visual planning (e.g., mind maps)
Asynchronous communication to reduce processing fatigue
“Instead of forcing autistic people to ‘work harder,’ we must let them work differently.”
Barriers to Full Implementation
Institutional inflexibility.Most systems still define competence through neuronormative standards—rewarding speed, predictability, and social fluency.
Burden of self-advocacy.Autistic individuals are often expected to “prove” their need for accommodations in systems that don’t recognize relational cognition (Nicolaidis et al., 2019).
“We shouldn’t have to earn environments that support us—they should be the default.”
Summary of Layer 1 – The Ecology of Cognition
Key Insights
Autistic cognition is not a fixed impairment—it is a relational, fluctuating process.
Executive function, communication, and sensory regulation shift based on environmental conditions.
Inconsistency is not a flaw—it is an ecological outcome.
Masking, burnout, and late diagnosis reflect systemic misrecognition, not personal failure.
CEM must evolve to integrate trauma, intersectionality, and systemic barriers.
True support comes from environmental redesign—not from trying to change the individual.
“Until society recognizes cognition as ecological, autistic people will continue to be blamed for struggling in systems that weren’t built for them.”
Chapter 6
Layer 2 - Relational Cognition: How Social Contexts Shape Neurodivergence
“Autistic individuals do not struggle with connection—we struggle with the forced performance of connection in environments where our authenticity is not welcome.”
The second layer of the Cognitive Ecology Model (CEM) explores relational cognition—the ways that social environments, interpersonal dynamics, and cultural expectations shape autistic communication, identity, and belonging.
Historically, autism research has pathologized social difference, framing challenges as intrinsic impairments. These deficit-based models position executive dysfunction, sensory sensitivities, and communication differences as internal flaws (Milton, 2012). CEM, however, rejects this framing and centers context as a powerful influence on neurodivergent expression.
Instead of viewing autistic socialization as a fixed deficit, CEM affirms that:
- Autistic communication is not inherently impaired—it is shaped by context (Crompton et al., 2020).
- Social barriers are often systemic, not individual (Botha & Gillespie-Lynch, 2022).
- Autistic people thrive when their natural relational styles are welcomed and validated (Chapman & Carel, 2022).
- This layer reframes social misattunement as a function of ecological mismatch—not personal failure.
Why This Layer Matters
Social norms dictate how neurodivergence is recognized, accommodated, or excluded. For many autistic individuals, the core difficulty is not connection itself but navigating environments that prioritize neuronormative interaction styles over authenticity (Pearson & Rose, 2021).
This section explores:
- The double empathy problem: How communication breakdowns stem from mutual misunderstanding—not autistic deficits.
- Masking and relational exhaustion: How the pressure to "perform" neurotypicality erodes self-trust and well-being.
- Relational accessibility: How inclusive design can enable more authentic, sustainable interpersonal connection.
“Relational barriers are not evidence of autistic impairment—they are evidence of systemic exclusion.”
Table 11: Comparison Table Neurodivergent-Affirming Spaces Vs. Neuronormative Spaces
| Neurodivergent-Affirming Spaces | Neuronormative Spaces |
|---|
| Direct language is welcomed | Directness misread as rude |
| Depth-focused conversations | Small talk is expected |
| Shared interests fuel connection | Surface rituals dominate |
| Predictability reduces anxiety | Unspoken rules create stress |
The Core Concept: Social Environments Dictate Neurodivergent Expression
“Autistic socialization is not broken—it is suppressed in environments that fail to accommodate diverse interaction styles.”
One of the most damaging assumptions in traditional autism discourse is that autistic individuals inherently lack social competence. This belief has fueled decades of deficit-oriented research that overlooks the role of environmental context in shaping communication and connection (Baglieri & Shapiro, 2017).
CEM challenges this framing by positioning relational experience as fluid—something co-constructed between individual and environment. The degree to which an autistic person thrives in social interaction is not fixed; it is determined by whether the environment recognizes and supports their natural communication style.
Context Shapes Communication.
CEM holds that autistic communication is not universally difficult—it is context-responsive. In affirming, predictable, and interest-based environments, autistic individuals often demonstrate fluency, empathy, and depth of engagement (Crompton et al., 2020).
Table 12: Communication in Different Social Contexts
| In Affirming Spaces | In Neuronormative Spaces |
|---|
| Directness is respected | Directness is misunderstood as rudeness |
| Depth-based engagement is valued | Surface-level small talk dominates |
| Shared interests foster authentic connection | Unspoken rules cause anxiety |
| Predictability enables clarity | Indirect cues result in misattunement |
“Autistic individuals do not lack social ability—they lack access to environments that validate their natural ways of connecting.”
Case Study: The Exhaustion of Social Translation
“I am not bad at communication—I am exhausted by the constant need to translate my natural way of thinking into a social structure that was not built for me.”
Social translation is among the most cognitively demanding and emotionally draining experiences for many autistic individuals. Unlike learning a second language, it requires translating internal thought processes, communication preferences, and sensory responses into formats that conform to neuronormative expectations. Botha and Gillespie-Lynch (2022b) describe the relentless identity and communication negotiation required in neurotypical spaces—a form of translation labor that can be profoundly exhausting.
What Social Translation Really Involves
CEM defines social translation as a three-phase process:
- Decoding Phase – Interpreting unspoken rules, facial expressions, vocal intonations, and indirect speech (Milton, 2012).
- Adjustment Phase – Suppressing or reshaping one’s own natural communication (e.g., avoiding info-dumping, controlling tone, masking enthusiasm).
- Monitoring Phase – Self-regulating during the interaction to ensure perceived "normalcy," while anticipating possible judgment or confusion.
- Each of these layers incurs significant cognitive load, especially when repeated multiple times a day without recovery.
The Double Empathy Problem: A Two-Way Misattunement
“Communication breakdowns between autistic and nonautistic individuals are not caused by autistic impairment—they result from mutual misunderstanding due to differing cognitive frameworks” (paraphrasing Milton’s double empathy problem)
The double empathy problem reframes communication struggles between autistic and neurotypical people as reciprocal misattunement, not a one-sided failure (Milton, 2012). Autistic individuals often communicate effectively with each other, using direct language, shared interests, and predictable conversational structures (Crompton et al., 2020).
Table 13: Communication Norms by Neurotype
| Neuronormative Norms | Autistic Communication Norms | Mismatch Consequences |
|---|
| Indirect speech, hints, subtext | Direct, literal expression | Autistic clarity perceived as rude |
| Small talk as social lubricant | Depth-based, interest-driven dialogue | Lack of small talk mistaken for disinterest |
| Heavy reliance on nonverbal cues | Verbal clarity over nonverbal signals | Eye contact avoidance read as disengagement |
This mismatch leads to autistic individuals constantly compensating, often resulting in social exhaustion and withdrawal.
Masking and Relational Safety: The Role of Validation
“Masking is not just an individual survival strategy—it is a relational response to a world that does not accept neurodivergence.”
In the Cognitive Ecology Model (CEM), masking is not viewed as a flaw or voluntary behavior, but as a relational adaptation—a survival strategy developed in response to environments that punish authenticity (Pearson & Rose, 2021). When neurodivergent traits are met with rejection, ridicule, or dismissal, autistic individuals often suppress their true selves to access even minimal social belonging (Hull et al., 2017; Pearson & Rose, 2021). Masking can appear functional on the surface—leading to perceived competence or “success”—but it carries deep psychological and physiological costs. Burnout, identity erosion, emotional dysregulation, and delayed diagnosis are all common consequences of long-term masking (Hull et al., 2017).
Table 14: Types of Masking - A Spectrum of Suppression
| Type of Masking | Description | Common Consequences |
|---|
| Social Masking | Imitating neurotypical behaviors: eye contact, small talk, body language | Social exhaustion, anxiety, difficulty forming authentic relationships |
| Cognitive Masking | Hiding executive dysfunction or sensory needs through scripting or over-prepping | Burnout, perfectionism, imposter syndrome |
| Emotional Masking | Suppressing natural emotional responses to appear "appropriate" | Emotional dysregulation, self-doubt, dissociation |
Each form of masking serves as a protective response to social invalidation, but over time, it distances the individual from their core identity.
Relational Safety Determines Masking Intensity
The degree to which someone masks is deeply shaped by the level of psychological safety in their environment. When autistic traits are met with acceptance and understanding, masking decreases. When they’re met with punishment or invalidation, masking intensifies (Hull et al., 2017; Pearson & Rose, 2021).
Table 15: Environment Response vs. Impact on Masking
| Environment Response | Impact on Masking |
|---|
| “You’re being too intense.” | Heightened suppression of enthusiasm or directness |
| “You don’t look autistic.” | Reinforces pressure to continue masking |
| “I appreciate your honesty.” | Increases safety, enabling unmasking |
“The more I was told I was ‘too much’ or ‘too different,’ the more I learned to hide who I was.”
Case Study: Masking in the Workplace – A Reflexive Account
"I’d finish the day not from the work but from all the adjustments."
This quote, drawn from the author's personal workshop journal, captures the lived experience of workplace masking from an autoethnographic perspective. During the workshop, multiple participants expressed strong resonance with this reflection, echoing similar experiences of cognitive and emotional depletion tied not to job tasks themselves, but to the sustained effort of appearing “normal” in neurotypical environments.
Common masking strategies identified in both the journal and participant reflections include:
- Mirroring social behaviors – such as smiling, nodding, and engaging in small talk despite internal discomfort.
- Overcompensating for executive challenges – like arriving early, repeatedly checking work, or concealing struggles with transitions.
- Suppressing sensory distress – enduring bright lights, open-office noise, or strong scents without acknowledgement.
These behaviors, while often misread as markers of competence, come at a high psychological cost. The exhaustion reported is not due to the work itself, but to the relentless performance of acceptability in relationally unsafe spaces.
By weaving together reflexive narrative and shared participant insights, this case study illustrates how masking is not a failure to be authentic—it is a socially reinforced strategy of self-protection in environments that punish neurodivergent expression.
Table 16: Consequences of Workplace Masking
| Hidden Effort | Long-Term Impact |
|---|
| Managing every social cue to appear "normal" | Chronic stress, emotional dysregulation |
| Hiding communication needs (e.g., written over verbal) | Missed accommodations, reduced authenticity |
| Withholding sensory discomfort | Physical fatigue, burnout, workplace avoidance |
| Constant monitoring of behavior | “Double work” just to appear competent |
“It’s not the job itself that burns me out—it’s pretending to be someone I’m not, all day long.”
This phenomenon often goes unnoticed by employers, resulting in undervalued labor and under-supported neurodivergent employees. To survive such environments, some neurodivergent workers develop masking strategies—while others resist entirely, embodying what Walker (2021) describes as a neuroqueer refusal to perform neuronormativity. CEM suggests that sustainable inclusion requires systemic restructuring—not more resilience from autistic workers.
The Psychological and Physical Costs of Long-Term Masking
"I spent years playing a role—so long that I forgot who I actually was," I wrote in my journal during a period of intense burnout.
While masking can provide temporary social acceptance, the long-term costs are profound—affecting mental health, identity formation, and overall cognitive well-being. CEM reframes these outcomes not as personal failings, but as relational injuries resulting from chronic invalidation.
Key Consequences of Prolonged Masking
Cognitive Fatigue: The constant mental load of self-monitoring and translating neurodivergent expression into neuronormative language depletes executive resources (Raymaker et al., 2020).
Identity Erosion: Years of suppressing one’s authentic self can lead to confusion, dissociation, and a fragmented sense of identity (Pearson & Rose, 2021).
Delayed Self-Recognition: Masking may delay or obscure diagnosis, as individuals learn to “pass” rather than be seen (Hull et al., 2017).
Autistic Burnout: A state of systemic exhaustion that often includes sensory shutdown, regression of skills, and physical collapse (Raymaker et al., 2020).
“Many autistic individuals don’t realize they’ve been masking until they reach a breaking point—when the act becomes unsustainable.” This insight, drawn from my own experience, reflects a common theme echoed by workshop participants.
Visual: Masking → Burnout Trajectory
Possible Stages:
- Social Invalidation
- Masking as Coping
- Chronic Cognitive Load
- Identity Fragmentation
- Autistic Burnout
- Masking and Intersectionality: Who Faces the Greatest Social Pressure?
“Some of us aren’t given the option to unmask without severe consequences.”
While masking is common among autistic individuals, the expectation to mask is not experienced equally. Those with intersecting marginalized identities often face heightened scrutiny and more severe penalties for deviating from social norms. For these individuals, unmasking may be unsafe or even dangerous.
Table 17: Who Faces Greater Pressure to Mask?
| Group | Heightened Masking Pressures |
|---|
| Autistic Women & Nonbinary People | Expected to perform emotional labor; more likely to be misdiagnosed due to gendered stereotypes (Hull et al., 2020) |
| Black, Brown, & Indigenous Autistic People | Directness may be perceived as aggression; higher risk of criminalization or discipline (Davis et al., 2024) |
| Lower-Income Autistic People | May mask to retain employment or access services; limited access to affirming environments (Nicolaidis et al., 2015) |
For these groups, masking isn’t merely a coping mechanism—it’s a survival strategy. The ability to unmask without severe social or economic consequences is a form of privilege not equally distributed.
“Unmasking is not just about comfort—it’s about whether the world around you will allow you to exist without penalty.”
This underscores the CEM’s emphasis on relational environments: true inclusion cannot happen until all neurodivergent individuals—across race, gender, and class—have access to spaces where unmasking is not met with danger or dismissal.
CEM’s Approach: Reducing the Need for Masking, Not Just Supporting It
“Autistic individuals do not need ‘social skills training’—they need environments that recognize and respect neurodivergent communication styles.”
Rather than teaching autistic individuals how to mask more effectively, the Cognitive Ecology Model (CEM) advocates for transforming the environments that make masking necessary in the first place. Traditional approaches often center compliance, coaching autistic people to perform neuronormativity rather than affirming their intrinsic ways of relating.
Table 18: Traditional vs. CEM Approach
| Traditional Approach | CEM Perspective |
|---|
| Teach autistic individuals masking strategies to "fit in" | Redesign relational environments to reduce the need for masking |
| Assume masking is a necessary social skill | Recognize masking as a symptom of systemic exclusion |
| Support individuals recovering from masking burnout | Prevent burnout by fostering relational safety and authenticity |
Instead of training autistic individuals to endure social spaces that demand performance, CEM insists on co-creating environments where authenticity is safe, valued, and sustainable.
“I don’t need more ways to mask—I need a world where I don’t have to.”
Core Principle: Belonging is not built through assimilation; it is built through the intentional design of relational spaces where difference is not penalized.
Relational Trauma and the Impact of Social Exclusion
As reflected in my workshop journal, “Without an affirming neurodivergent framework, many autistic individuals internalize relational struggles as personal failure.”
Autistic individuals often experience relational trauma—a persistent pattern of social exclusion, misunderstanding, or dismissal that deeply shapes their sense of trust, belonging, and self-worth (Botha, 2021; Botha & Gillespie-Lynch, 2022a, 2022b). Under deficit-based models, these relational challenges are often misattributed as intrinsic shortcomings. CEM reframes them as ecological failures—symptoms of systemic misalignment rather than neurodivergent deficiency.
Table 19: Types of Relational Exclusion and Their Impacts
| Type of Exclusion | Definition | Long-Term Consequences |
|---|
| Explicit Rejection | Bullying, ostracism, direct exclusion | Low self-esteem, social withdrawal |
| Social Ghosting | Ignored in conversation, left out of activities | Chronic loneliness, learned helplessness |
| Relational Tokenism | Present but not truly engaged or valued | Feeling burdensome, identity doubt |
| Neuronormative Performance Demand | Pressure to use small talk or indirect cues | Burnout, anxiety |
| Institutional Exclusion | Overlooked for opportunities due to nonconforming communication or interaction styles | Economic insecurity, career stagnation |
These forms of exclusion may not leave visible scars—but they accumulate over time, eroding relational trust and reinforcing an internalized belief of being fundamentally “out of sync” with the world.
Case Study: The Social Cost of Being “Too Much”.
“I was constantly told I was too intense, too direct, too passionate—so I started shrinking myself to be more ‘acceptable.’”
This narrative reflects common themes raised during the workshop. One participant wrote, “I’ve been told my whole life that I’m ‘too much’—too intense, too smart, too opinionated, too serious.” This repeated messaging encourages masking and withdrawal, particularly among late-diagnosed and multiply marginalized individuals. CEM frames these adaptations not as personal deficits but as relational injuries caused by environments that punish neurodivergent authenticity.
Many autistic individuals—particularly those diagnosed later in life or holding intersectionally marginalized identities—grow up being told their natural expressions are “too much.” This messaging pressures conformity over authenticity, leading to relational withdrawal, emotional suppression, and reduced participation in community life (Pearson & Rose, 2021).
Long-Term Effects of Social Exclusion
SelfDoubt & OverApologizing: Constant self-monitoring of words, tone, and presence, with internalization of every misstep as personal failure (Botha & GillespieLynch, 2022a, 2022b).
Fear of Rejection & Withdrawal: Disengagement from social situations—not due to a lack of desire, but as a protective response to repeated invalidation (Raymaker et al., 2020).
Relational Hypervigilance: Ongoing monitoring of one’s own behavior to avoid exclusion, resulting in emotional exhaustion.
Difficulty Trusting Relationships: Challenges distinguishing genuine connection from performative inclusion, which fosters a fear of closeness (Cook et al., 2021).
Autistic Burnout: A state of systemic exhaustion that often includes sensory shutdown, regression, and physical collapse—grounded in lived experiences of prolonged masking and environmental overload (Raymaker et al., 2020; Higgins et al., 2021).
These are not isolated psychological outcomes—they are the product of neurodivergent individuals navigating environments that consistently invalidate or exclude their ways of being.
Intersectionality in Relational Trauma
“Not all autistic individuals experience relational trauma in the same way—race, gender, and class shape the severity and safety of social visibility.”
Table 20: Barriers are amplified for those with intersecting identities
| Group | Additional Exclusion Risks |
|---|
| Autistic Women & Nonbinary People | Misdiagnosis, pressure to perform emotional labor, burdened by gendered social norms (Hull et al., 2020) |
| Black, Brown, & Indigenous Autistic People | Direct communication often misinterpreted as aggression, leading to increased surveillance and systemic distrust (Davis et al., 2024) |
| LowerIncome Autistic People | Fewer diagnostic and support opportunities; masking becomes a necessity, not a choice (Nicolaidis et al., 2015, 2019) |
| LGBTQ+ Autistic Individuals | Experience dual marginalization—rejection from both neurotypical and queer spaces due to differences in presentation (Pearson & Rose, 2021) |
For these individuals, relational trauma is compounded. Social differences are penalized more severely, and safety is often unattainable—which deepens emotional harm and erodes relational trust over time.
Reframing the Relational Layer: From Social Deficit to Social Difference
“Reflecting on my own social experiences, I’ve found that autistic individuals are not deficient in social ability—we operate within a different framework of connection.”
For decades, autism research and practice have treated social interaction through a deficit lens—framing autistic communication as lacking in empathy, reciprocity, or complexity. This view not only pathologizes neurodivergent expression but also enforces a single standard of social competence grounded in neuronormativity.
CEM challenges this deficit model, offering a strengths-based reframing: autistic people do not struggle with connection; they engage with it through different modalities. Their communication is often richer, deeper, and more direct—just not aligned with neuroconvergent norms.
Table 21: Challenging the “Deficit” Narrative
| Traditional Assumption | CEM Counterframe |
|---|
| Autistic individuals lack empathy | Many express deep affective empathy, though often nonverbally or nontraditionally |
| Autistic people are “bad at relationships” | Relationships are built around shared interests, trust, and depth |
| Communication is too literal or “awkward” | Directness reflects clarity, honesty, and cognitive efficiency |
“Social difficulties are not rooted in autistic deficiency—they are rooted in mismatched interaction norms.”
Table 22: The Double Standard in Social Norms
| Neuronormative Socialization | Autistic Socialization | Why Misunderstandings Occur |
|---|
| Indirect communication | Direct, literal communication | Autistic clarity is read as “blunt”; neurotypical vagueness as “normal” |
| Small talk and superficial rituals | Interest-driven, deep conversations | Autistic people may skip surface chat, seen as “disengaged” |
| Eye contact and facial mimicry | Eye avoidance, alternative cues | Differences misread as disinterest or rudeness |
CEM emphasizes that social mismatch is not social failure. Both autistic and non-autistic individuals may struggle to relate in mixed contexts, but the burden of adaptation typically falls on the autistic person.
Reframing Autistic Socialization: Strengths, Not Deficits
“Autistic relationships are not less valuable—they are built differently.”
Rather than viewing autistic communication as a set of deficits to overcome, CEM affirms it as a distinct and equally valid relational style. Autistic individuals often bring unique strengths to interpersonal connections—strengths that go unrecognized in environments fixated on neurotypical performance.
Table 23: Autistic Social Strengths
| Trait | Description | Common Misinterpretation |
|---|
| Deep, Passionate Conversations | Thrive in focused, info-rich discussions rooted in shared interests | Viewed as “overexplaining” or “dominating conversation” |
| Honest, Direct Communication | Say what they mean with clarity and intention | Misread as “rude” or “lacking tact” |
| Strong Relational Loyalty | Build deep trust through consistency and authenticity | Misinterpreted as social isolation or low sociability |
“These are not deficits—they are differences in how social value is expressed.”
The Need for Social Redesign: Moving Beyond “Inclusion”
“Inclusion is meaningless if autistic individuals must constantly suppress their natural way of relating to others.”
Inclusion efforts often fail because they attempt to assimilate autistic individuals into neuronormative systems rather than transforming those systems to accommodate diverse styles.
Table 24: Shifting From Social Training to Social Redesign
| Traditional Inclusion Model | CEM-Informed Social Design |
|---|
| Focuses on “fixing” autistic communication | Validates and centers autistic interaction styles |
| Teaches masking and mimicry | Supports unmasking and authentic engagement |
| Assumes small talk and indirectness are universal norms | Embraces clarity, depth, and directness as valid forms of communication |
CEM’s blueprint for inclusive relational spaces.
Rethink Social Norms in Schools & Workplaces
Encourage explicit, predictable, and purpose-driven communication.
Redefine Social Success
Measure by mutual understanding and relational authenticity—not charisma.
Support Unmasking as a Social Right
Normalize different ways of engaging rather than pathologizing them.
“Relational access is not about fitting in—it’s about not needing to hide.”
Critical Analysis: Power, Intersectionality, and the Limits of CEM
“Who defines ‘social competence’? Who benefits from existing relational norms? And whose communication styles are dismissed as ‘deficient’?”
While CEM offers a transformative relational framework, it must also confront its own limitations. Without critical reflection, there’s a risk it could be absorbed into existing power structures, rather than dismantling them (Chapman & Carel, 2022; Foucault, 1980; Freire, 1970).
1. Who Defines “Social Competence”? And Why It Matters.
- Most autism research and social assessment frameworks are shaped by neurotypical norms—privileging behaviors like charisma, small talk, and surface-level empathy (Milton, 2012). This positionality:
- Ethnocentrically enforces a narrow standard of “proper” social behavior.
- Penalizes those whose communication aligns with different cultural or cognitive norms.
- Ignoring power dynamics in who gets to define and measure social success.
- Unless CEM explicitly interrogates these biases, it risks reinforcing exclusion under a different name.
2. Can Systemic Relational Redesign Actually Happen?.
- Transforming social spaces to support neurodivergent inclusion is an ambitious goal—and one that institutions often resist. Structural inertia, entrenched norms, and a prioritization of productivity over people pose substantial challenges. Core barriers include:
Efficiency over accessibility: Many institutions prioritize speed, standardization, and compliance over inclusive, relational design. Slower, more human-centered communication processes are often dismissed as inefficient or unprofessional (Kapp, 2020).
Deep-rooted social norms: Neurotypical communication—often indirect, performative, and hierarchical—has been normalized across generations. These norms are rarely interrogated, despite evidence that they alienate neurodivergent individuals (Pearson & Rose, 2021).
Inclusion as an “extra”: Accommodations continue to be viewed as optional or burdensome add-ons, rather than essential design principles. This framing contributes to widespread autistic burnout, as individuals navigate environments never built with their needs in mind (Higgins et al., 2021).
CEM must grapple with a difficult question: Can these systems be reformed from within—or must entirely new relational infrastructures be created? Without deeper structural commitment, inclusion risks becoming symbolic rather than transformative.
3. Intersectionality: Whose Neurodivergence Is Recognized?
CEM highlights relational trauma, but not all autistic people experience exclusion equally. If CEM fails to explicitly center these experiences, it risks replicating the same exclusionary biases it seeks to oppose.
Table 25: Race, gender, and class shape social risk
| Group | Relational Bias & Risk |
|---|
| Black, Brown, & Indigenous autistic people | Directness misread as aggression; higher risk of discipline or surveillance (Davis et al., 2024) |
| Autistic women/nonbinary individuals | Expected to perform emotional labor; masked or misread communication suppressed (Hull et al., 2020) |
| Lower-income autistic individuals | Less access to diagnostic support; masking as economic necessity (Nicolaidis et al., 2013) |
| LGBTQ+ autistic individuals | Pressure to perform acceptable neuroconvergent AND heteronormative social roles (Pearson & Rose, 2021) |
4. Risk of Institutional Co-optation
- Critical frameworks often become diluted when absorbed into institutional settings—stripped of their emancipatory potential and repackaged for public image management:
Neurodiversity, originally a radical reclamation of identity and justice, is sometimes co-opted by corporations as a branding tool—used to signal inclusivity without enacting meaningful structural change (Botha, 2021).
Trauma-informed models are increasingly adopted in surface-level ways—offering language of care without confronting the deeper systems that produce harm (Higgins et al., 2021).
If CEM is positioned merely as another productivity-enhancing tool or normative benchmark, it risks reproducing the very systems it seeks to transform. In the language of Foucault (1977), institutional power often functions through the internalization of norms—turning liberatory frameworks into new forms of discipline. To resist this, CEM must remain grounded in praxis rather than performance—what Freire (1970) called “reflection and action upon the world in order to transform it.”
Final Thoughts: Ensuring CEM Stays Liberatory
To remain radical—and effective—CEM must:
- Center neurodivergent leadership in defining its principles and applications.
- Push for meaningful institutional change, not surface-level inclusion.
- Integrate intersectional justice, ensuring that those most marginalized are seen, heard, and served.
Implementation & Action Steps: Building Relational Systems That Work
“If the problem is systemic, then the solution must be structural.”
The Cognitive Ecology Model (CEM) isn’t simply a theoretical framework—it’s a call to action. If we understand that relational challenges faced by autistic individuals are rooted in systemic design rather than personal deficits, then the next step is to actively redesign those systems.
This final section outlines how schools, workplaces, community groups, and families can begin creating environments where neurodivergent communication, expression, and relationships are not just permitted—but valued.
Table 26: In Educational Settings
| Current Practice | CEM-Informed Alternative |
|---|
| Social skills training that encourages conformity | Collaborative communication scaffolding rooted in shared interests and autonomy |
| Group work measured by verbal participation | Flexible participation modes: written, nonverbal, and asynchronous options |
| Inclusion = physical proximity | Inclusion = relational safety, access to unmasking, and trusted relationships |
Action Steps:
- Train educators in neurodivergent communication styles, not just diagnosis categories.
- Redesign classroom expectations to support clarity, autonomy, and sensory predictability.
- Develop peer collaboration models that emphasize explicit expectations and shared focus over charisma or spontaneity.
Table 27: In Workplaces
| Status Quo | CEM-Aligned Practice |
|---|
| Emphasis on team bonding, networking, and soft skills | Recognition of task-based collaboration and info-dense interactions |
| Informal meetings and unwritten expectations | Explicit structure, documentation, and sensory-conscious environments |
| Masking as the norm | Recognition of unmasking as a right, not a risk |
Action steps:
- Normalize direct communication, asynchronous collaboration, and clear project expectations.
- Provide alternative formats for presentations, feedback, and performance reviews.
- Explicitly signal psychological safety by validating neurodivergent expression (e.g., info-dumping, stimming, scripting).
Table 28: In Families & Communities
| Well-Intentioned Approach | Liberatory Practice |
|---|
| Teaching social norms through correction | Modeling mutual understanding through curiosity and co-creation |
| Pushing independence prematurely | Honoring interdependence and the natural pacing of connection |
| Expecting "normal" milestones | Celebrating authentic developmental paths |
Action steps:
- Create family rituals that accommodate communication preferences and sensory needs.
- Use visual schedules, written affirmations, or interest-based conversation starters.
- Prioritize trust and co-regulation over performance of social “normalcy.”
- Final Implementation Guiding Principles
- Nothing about us without us: Design with neurodivergent input at every stage.
- Unmasking is a right, not a reward: Inclusion must not require camouflage.
- Directness ≠ rudeness: Validate communication styles as culturally and cognitively diverse.
- Relational success ≠ performance: Value authenticity, consistency, and reciprocity over charisma.
“Liberation is not just theoretical—it’s architectural. It’s built into how we speak, relate, and design the systems we live within.”
Chapter 7
Layer 3 - Institutional Structures: Education, Work, and Healthcare
“Institutions don’t merely respond to neurodivergence—they construct the terms under which it is visible, legitimate, or excluded.”
Layer 3 of the Cognitive Ecology Model (CEM) examines how institutions—especially education, employment, and healthcare—shape the lived experience of neurodivergent individuals. These systems are not neutral containers; they are regulatory environments that define who counts, who is supported, and who is rendered invisible.
Policies and practices within institutions determine who gets access to support, how accommodations are framed, and what narratives dominate. Late diagnosis often results in missed interventions, chronic misrecognition, or systemic exclusion. Autistic students may be punished instead of supported. Autistic employees may be labeled “difficult” instead of understood as misfits within rigid, one-size-fits-all systems. These structures often operate through what Foucault (1977) described as the medical gaze—a mode of institutional power that renders individuals as objects of observation, categorization, and correction, rather than agents within their own narratives.
This framework helps explain how schools, workplaces, and clinics regulate access to legitimacy. Diagnosis is not just a clinical process—it’s a social sorting mechanism. “Success” is not just earned—it’s measured through norms designed without cognitive diversity in mind.
For late-diagnosed individuals and those with intersecting marginalized identities, institutions often function as sites of harm, not support. CEM challenges us to move beyond the question of how neurodivergent people can fit into existing systems and instead ask: what would those systems look like if they were designed for us in the first place?
Education: Standardized Learning and the Suppression of Cognitive Diversity
This insight emerged clearly in my own workshop journaling: “School wasn’t hard because I couldn’t think—it was hard because I had to fight the system just to be myself.” Such reflections underscore how lived experience often reveals the epistemological violence of normative systems.
Mainstream education systems are structured around neuronormative expectations, privileging:
- Linear, sequential learning over associative or nonlinear cognition (Mottron, 2011),
- Rigid behavioral norms that penalize sensory regulation strategies like stimming (Pellicano & den Houting, 2022),
- Overemphasis on surface-level metrics of learning, failing to recognize deep-focus or interest-driven cognitive styles (Kapp, 2020).
These systems reflect what Paulo Freire (1970) termed the “banking model” of education—an authoritarian approach where students are passive recipients of knowledge. Neurodivergent learners often find themselves punished not for failing to learn, but for failing to conform.
Yet, the problem runs deeper than pedagogy. As Ignacio Martín-Baró (1994) argued, systems of education and psychology often individualize social problems, pathologizing marginalized learners rather than questioning the structures that exclude them. From a liberation psychology perspective, neurodivergence must be understood not as cognitive failure but as a systemic mismatch, where institutions are actively complicit in reproducing inequality through “epistemological violence”—the erasure of valid ways of knowing and being.
Table 29: How Standardized Education Marginalizes Neurodivergent Students
| Neuronormative Assumption | Barrier for Neurodivergent Students | CEM-Aligned Reframing |
|---|
| Structured, step-by-step instruction is best for all learners. | Nonlinear thinkers may feel constrained or disconnected. | Offer multimodal, nonlinear pathways for exploration. |
| Success is measured by speed and standardized testing. | Executive functioning variability and time-based stress undermine potential. | Prioritize mastery over performance speed; de-standardize assessments. |
| Stillness and quiet are prerequisites for learning. | Sensory and movement needs are penalized. | Normalize regulation strategies and varied communication methods. |
These exclusions are not accidental—they reflect institutional prioritization of control over learning, and compliance over curiosity. Neurodivergent students are labeled:
“Defiant” for stimming or speaking out of turn,
“Lazy” for nonlinear executive functioning,
“Underperforming” for excelling outside the bounds of standard testing.
Case Reflection: When School Misunderstands Cognition
"I wasn’t failing school—school was failing to recognize how I learn."
This theme echoed strongly throughout our workshop reflections, where many shared stories of being misdiagnosed, mislabeled, or misunderstood by an education system built around compliance, not cognitive diversity.
One parent reflected on their child’s placement in a “special education” room that grouped students by diagnosis rather than by learning potential. Though the teachers were compassionate, the setting offered minimal intellectual challenge and ultimately stunted the child’s development. As the parent put it: “It didn’t challenge him intellectually... and now, years later, I see how it limited his growth.”
Others described being labeled “defiant” or “difficult,” not because of a lack of interest or intelligence, but because their ways of learning didn’t conform to classroom norms. One participant noted that their “little professor” persona masked the internal dissonance and went unnoticed by teachers who mistook articulate speech for emotional well-being. “I had already been trained out of caring for my own needs,” they reflected.
Several contributors shared how their cognitive strengths—such as deep focus, lateral thinking, or interdisciplinary synthesis—only became visible in environments that allowed for autonomy, movement, or nonlinear exploration. One educator shared how they eventually left the public school system entirely, after realizing it was crushing not only their child’s spirit but their own. In their new practice, they began asking revolutionary questions like: “Does this child have the physical skills we’re expecting—or are we asking too much from a nervous system that’s already overwhelmed?”
Across these reflections, one message was consistent: many neurodivergent students don’t fail because they can’t learn, but because the system fails to recognize how they learn. Standardized education often rewards stillness, speed, and memorization—not curiosity, complexity, or regulation through movement. And yet, amidst these challenges, nearly every story included a teacher, mentor, or moment of relational care that allowed something powerful to emerge.
As one person summarized:“I wasn’t failing school—school was failing to recognize how I learn.”
CEM’s Educational Redesign Vision
“The solution isn’t to ‘fix’ neurodivergent students—it’s to unbuild the systems that misread them.”
Table 30: Traditional Education vs. CEM Aligned
| Traditional Model | CEM-Aligned Alternative |
|---|
| Uniform curricula based on rigid sequences. | Adaptive, multimodal learning environments. |
| Evaluation focused on standardized tests. | Flexible, mastery-based and portfolio assessments. |
| Behavior policies that demand masking. | Classrooms that embrace regulation, movement, and diverse interaction. |
CEM aligns with liberation pedagogy, insisting that education must become:
- Dialogical, not hierarchical,
- Adaptive, not extractive,
- Rooted in justice, not just “achievement.”
Final Thoughts: Education as Liberation
“Neurodivergent students do not need to be remediated—they need to be recognized.”
When education reframes neurodivergent cognition as difference, not deficiency, schools can:
- Support creativity instead of demanding conformity,
- Foster confidence instead of inducing chronic self-doubt,
- Build environments where thriving is possible without masking.
Martín-Baró reminds us that any psychology—or pedagogy—that does not work toward liberation risks serving oppression. CEM answers that call, reimagining education as a shared project of equity, agency, and cognitive justice.
Employment: Productivity Models That Penalize Neurodivergence
“Autistic professionals are not struggling with work—they are struggling with a work model that was built for someone else.”
Employment systems are often heralded as meritocratic, yet they remain among the most exclusionary institutions for neurodivergent individuals. From hiring to advancement, workplaces reward social fluency, speed, and visibility—traits aligned with neuronormative standards rather than cognitive diversity (Robertson, 2010; Baldwin et al., 2014).
Under the Cognitive Ecology Model (CEM), workplace struggles are reframed not as personal deficits, but as institutional mismatches—products of systems that were never designed with neurodivergence in mind.
Table 31: How Workplaces Encode Neuronormativity
| Workplace Assumption | Barrier for Neurodivergent Professionals | CEM-Aligned Perspective |
|---|
| Productivity is defined by speed and output per hour. | Autistic individuals often excel in deep-focus work that may not conform to time-based metrics. | Evaluate contributions based on depth, innovation, and problem-solving. |
| Advancement depends on social networking and office politics. | Many autistic employees struggle with vague social norms, networking, and unspoken expectations. | Career progression should be based on skill and impact—not social visibility. |
| Meetings and open-office plans foster collaboration. | Sensory overload and forced verbal interaction can impede participation. | Create alternatives: asynchronous communication, sensory-friendly spaces. |
These structures don't merely disadvantage autistic workers—they actively suppress their potential by demanding masking, emotional labor, and performance over substance.
Case Reflection: Masking at Work Isn’t Success—it’s Survival
“I did everything ‘right’—masked, networked, worked overtime. I wasn’t promoted—I was exhausted.”
Many neurodivergent individuals are told that success is possible if they simply "try hard enough" to fit in. But in practice, success often means surviving in systems that were never designed with us in mind.
From the workshop reflections, several participants shared how their working lives became defined by the tension between internal struggle and external perception. One described the exhausting pattern of performing at a superhuman level—meeting impossible expectations inconsistently, then being punished not only for failure, but for the cost of succeeding. Another noted that being denied recognition or support because they “seemed fine” made the harm all the more invisible.
“When you spend a lifetime doing impossible things, it becomes a personal failure that you can’t do the impossible every single day, with no rest, no support, no end in sight.”
Others reflected on the bureaucratic realities of disability access—how simply being labeled “disabled” can mean the difference between accessing support or being left out entirely. Yet this label often comes with stigma, gatekeeping, and internalized shame.
In my own experience, the workplace punished authenticity and rewarded performative fluency. I was expected to network, to mirror, to show up cheerfully even when burned out. But it wasn’t until I found an environment that valued outcomes over optics—where asynchronous communication and directness were normalized—that my capacity finally aligned with my context.
This shift wasn’t about “accommodation.” It was about structural redesign—creating a relational ecology that recognized neurodivergence as difference, not deficiency.
The Hidden Cost: Burnout, Underemployment, and Exit
“Autistic burnout isn’t a personal failure—it’s an institutional outcome.”
Masking is not sustainable. Autistic professionals often:
- Overperform to compensate for social misreadings,
- Suppress needs to appear “easy to work with,”
- Stay silent rather than disclose and risk stigma (Miller et al., 2021).
The long-term impact:
- Autistic burnout—a state of exhaustion and shutdown from prolonged masking (Hull et al., 2017; Pearson & Rose, 2021),
- Underemployment—being overlooked despite high competence (Baldwin et al., 2014),
- Health deterioration—from stress-related disorders to nervous system dysregulation (Cage & Troxell-Whitman, 2019).
- The workplace doesn’t just ignore neurodivergence—it erodes it, one unpaid mask at a time.
CEM’s Blueprint for Workplace Transformation
“The problem is not autistic workers—it’s a work culture that demands conformity at the expense of authenticity.”
Table 32: Conventional Workplace Vs. CEM Aligned
| Conventional Model | CEM-Aligned Redesign |
|---|
| Fixed 9–5 schedules, constant availability. | Flexible hours and autonomy-driven workflows. |
| Social performance as a metric of leadership. | Promotions based on competence, not charisma. |
| One-size-fits-all communication (meetings, phone calls). | Mixed-mode communication: written, asynchronous, direct. |
| Performance tied to presence and visibility. | Outcome-based models that reward depth and insight. |
CEM calls for systemic redesign—not tweaks or token “neurodiversity hires,” but fundamental shifts that:
Value solitude as much as sociability,
Recognize fluctuating energy as valid,
Understand that communication is not always verbal, and presence does not always mean performance.
Final Thoughts: The Future of Neurodivergent Work
“The goal is not to make neurodivergent workers more ‘employable’—it’s to make work more human.”
Until workplaces stop measuring success by conformity, neurodivergent professionals will continue to:
Exit careers they’re overqualified for,
Burn out in systems that reward the mask, not the mind,
Be overlooked, not for lack of talent—but for too much difference.
CEM offers a radical reframe: that true inclusion starts with redesign, not accommodation. Work can be a space for liberation—if we build it to hold all minds.
Healthcare: Structural Barriers to Diagnosis and Support
“Who gets diagnosed—and when—is determined by institutional definitions of autism, not by lived experience.”
Healthcare systems often act as gatekeepers that define access based on institutional norms, not individual neurodivergence. This shapes who is recognized as autistic, when they receive support, and the narratives they encounter.
1. Institutional Gatekeeping & the “Medical Gaze”
Policies and clinician practices reflect the concept of Foucault’s “medical gaze” (1977): individuals are observed, classified, and managed as objects rather than understood in context. Late-diagnosed autistic people frequently miss early interventions, are misdiagnosed, or are pathologized (Morgan et al., 2017), while students may be disciplined instead of supported.
2. Barriers to Accessing Appropriate Care
A systematic review identified several interconnected barriers for autistic adults: limited provider knowledge and self-efficacy, communication mismatches during appointments, and sensory-unfriendly environments—leading to worse self-reported healthcare quality, poor symptom understanding, increased avoidance of care, and elevated anxiety in clinical settings (Mason et al., 2019).
3. Misdiagnosis & Diagnostic Overshadowing
Autistic individuals face layered barriers to accessing appropriate healthcare—even in childhood. A UK-based systematic review by Babalola et al. (2024) found that autistic children encounter frequent communication mismatches with providers, sensory-unfriendly clinical environments, and a lack of provider confidence in autism-specific care. These early healthcare experiences can contribute to long-term medical mistrust and avoidance, which may persist into adulthood.
Beyond logistical barriers, diagnostic overshadowing remains a critical issue—where new or unrelated symptoms are misattributed to autism itself, rather than being properly investigated. For example, physical pain may be dismissed as sensory sensitivity, leading to delayed or missed diagnoses (Local Government Association, 2023).
This problem is intensified for specific groups:
Women and nonbinary individuals are often first misdiagnosed with depression, anxiety, or borderline personality disorder before their autistic traits are recognized (Hull et al., 2020).
Black and Indigenous people are more likely to be misdiagnosed with behavioral disorders and face systemic mistrust within healthcare institutions (Morgan et al., 2017).
Low-income adults frequently encounter long waitlists, insufficient insurance coverage, or no access to autism-informed specialists at all (Nicolaidis et al., 2013).
In these compounded contexts, autism is often pathologized while systemic barriers remain unaddressed—leaving patients to navigate exclusion masked as care.
4. Masking in Medical Contexts
Autistic individuals often mask their traits to appear “normal,” particularly in clinical encounters. While this may help avoid immediate stigma, it frequently obscures their actual needs and contributes to cycles of misdiagnosis (Hull et al., 2017; Pearson & Rose, 2021). This complicated presentation can lead clinicians to dismiss genuine distress or misunderstand it as non-urgent (Cage & Troxell-Whitman, 2019).
CEM’s Vision for Healthcare Reform
To dismantle these barriers, CEM advocates for a radical shift:
Table 33: Current Medical Model Vs CEM Aligned
| Current Medical Model | CEM-Aligned Approach |
|---|
| Childhood checklists & male-centric criteria | Dynamic, identity-affirming frameworks that embrace diverse presentations (Pellicano & den Houting, 2022) |
| Assumption of autistic “incompetence” | Acknowledgement of competence alongside support needs (Nicolaidis, 2012) |
| Fragmented treatment of co-occurring conditions | Integrated, autism-informed care models (Nicolaidis et al., 2013) |
| Diagnosis tied to resources & socio-economic privilege | Accessible, community-based self-recognition pathways (Goodley, 2020) |
Key Structural Changes Needed:
- Training for providers in autism-aware communication and sensory accommodations
- Environmental adjustments to minimize sensory overwhelm in clinics
- Universal screening tools that reduce gender and racial bias
- Recognition of masking as a clinical challenge, not a sign of wellness
Final Thoughts on Healthcare Reform
Autistic adults—especially those who are late-diagnosed or intersectionally marginalized—are routinely sidelined in medical systems built around narrow definitions and deficit models. CEM repositions healthcare not as a reactive service but as a proactive, inclusive system. The goal? Afford every autistic person the right to be seen, supported, and respected from the moment they enter a medical space.
The next phase will dive deeply into Masking & Burnout—how institutional demands channel individual exhaustion, and what systemic redesign could offer instead.
Masking & Burnout as Systemic Outcomes: A Threshold Model
“Masking is not a skill—it is a survival mechanism demanded by inaccessible environments.”
Masking is frequently described as a personal adaptation—a technique autistic individuals use to “fit in.” But the Cognitive Ecology Model (CEM) reframes masking as an institutional demand: a form of social translation and self-suppression required to survive in spaces that punish cognitive difference.
Masking as Systemic Compliance
Masking demands the continual suppression of authentic behaviors—eye aversion, stimming, direct communication, or sensory needs—in favor of neuronormative expectations. This is not a benign strategy but a form of enforced conformity.
In education: Students are taught to sit still, use eye contact, and avoid “disruptive” behaviors. This restricts natural learning strategies and self-regulation (Pellicano & den Houting, 2022).
In employment: Autistic employees mirror office behaviors, suppress overload, and overcompensate for executive challenges—just to appear “professional” (Robertson, 2010; Baldwin et al., 2014).
In healthcare: Patients downplay distress or present in scripted ways to avoid being dismissed or pathologized. This masks diagnostic needs and leads to misdiagnosis (Pearson & Rose, 2021; Hull et al., 2020).
“I did everything right—masked my traits, stayed late, worked twice as hard. Instead of being rewarded, I burned out.”
Masking is often mistaken for social competence. But it is more accurately a chronic stress strategy—one that incurs long-term harm.
Burnout: Institutional Consequence, Not Individual Failure
Autistic burnout is not simply exhaustion—it is the collapse of regulatory capacity after sustained masking, chronic misrecognition, and systemic neglect. It manifests as:
- Profound executive dysfunction
- Cognitive and social withdrawal
- Heightened sensory sensitivity
- Identity confusion and emotional blunting
Physical deterioration, including chronic fatigue and autoimmune flares(Cage & Troxell-Whitman, 2019; Hull et al., 2017)
“I spent years holding everything together. Then one day, I couldn’t function at all.”
Burnout is a threshold phenomenon—the cumulative result of consistently exceeding one’s cognitive, emotional, and sensory limits in environments that demand conformity but deny meaningful support.
The Threshold Model: A Dynamic View of Disability
Traditional models frame disability as a static trait—either a person is “disabled” or not. The CEM threshold model recognizes that disability status fluctuates based on two variables:
Table 34: Threshold Variables
| Variable | Description |
|---|
| Internal capacity | Baseline cognitive, emotional, and sensory resources available at a given time |
| Environmental demand | The external pressures of masking, translation, and social conformity |
When demand consistently exceeds capacity, autistic individuals enter a state of cognitive overload, leading to temporary or long-term shutdown.
How Thresholds Are Breached
Chronic masking depletes internal resources, particularly when recovery is not possible in social or institutional contexts (Cook et al., 2021; Hull et al., 2021).
Intersectional stress—stemming from racism, classism, transphobia, and other systemic oppressions—compounds this burden. Autistic people who also hold marginalized racial, gender, or sexual identities face disproportionate pressure to remain “legible” and acceptable within dominant systems (Botha & Frost, 2020; Botha & Gillespie-Lynch, 2022b; Maroney & Horne, 2021).
Co-occurring somatic health conditions—such as joint hypermobility syndromes (e.g., Ehlers–Danlos Syndrome), dysautonomia (e.g., POTS), and autoimmune disorders—are significantly more prevalent in autistic individuals. These conditions further compound sensory and cognitive stress, increasing the likelihood of exhaustion and burnout (Casanova et al., 2020; Owens et al., 2021).
Burnout, then, is not an individual failure or a lack of resilience. It is a predictable systemic outcome—a collapse of energy and identity brought about by environments that demand suppression over support, conformity over care.
CEM's Solutions: Environmental, Not Individual, Interventions
"The solution to burnout is not teaching autistic people to cope better—it is creating environments where they don’t have to mask in the first place."
Table 35: Traditional Response vs. CEM-Aligned Redesign
| Traditional Response | CEM-Aligned Redesign |
|---|
| Teach resilience and self-regulation | Reduce environmental stressors and masking demands |
| Offer support after burnout has occurred | Intervene before thresholds are crossed |
| Diagnose and treat as a mental health issue | Recognize burnout as a structural outcome of systemic failure |
CEM advocates for:
- Proactive accommodations to reduce masking, not reward it
- Flexible participation structures in education and work
- Recognition of fluctuating disability and dynamic support systems
- Intersectional care models that acknowledge race, gender, class, and comorbidities in burnout pathways
Final Thoughts
“Autistic people don’t burn out because they’re fragile. They burn out because they’re constantly expected to perform a version of themselves that isn’t real.”
Burnout is not a warning sign—it’s a rupture. It tells us the system is unsustainable. And if burnout is systemic, then so must be the solutions.
CEM’s Vision for Institutional Transformation
“Institutions do not simply exclude neurodivergence—they shape the conditions under which it is recognized, supported, or erased.”
The Cognitive Ecology Model (CEM) rejects the view that education, employment, and healthcare are neutral spaces. Instead, it frames them as ecological systems that construct neurodivergent legitimacy—determining who must mask, who gets support, and who is pushed to the margins.
In Foucault’s (1977) terms, these systems deploy a regime of knowledge and control, where individuals are classified, pathologized, and disciplined through institutional norms. CEM calls for dismantling this regime—not merely working within it.
From Accommodations to Structural Redesign
Too often, “inclusion” means retrofitting neuronormative systems: offering piecemeal accommodations after harm has occurred. CEM proposes a deeper shift: Design institutions around neurodivergent needs from the beginning—not as exceptions, but as foundational. This is not a call for “better inclusion”—it’s a demand for paradigm change.
Table 36: Traditional Inclusion vs. CEM-Aligned Redesign
| Traditional Inclusion | CEM-Aligned Redesign |
|---|
| Add-on accommodations for diagnosed individuals | Universal Design embedding accessibility systemically |
| Case-by-case disability services | Proactive structures reducing the need for diagnosis as gatekeeping |
| Masking as prerequisite for success | Authentic expression as an expected, supported norm |
Three Domains of Institutional Redesign
1. Education: liberating cognitive diversity
“Neurodivergent students do not fail at learning—systems fail to recognize how they learn.”
CEM promotes:
- Mastery-based evaluation over speed and standardization (Mottron, 2011)
- Multimodal learning allowing nonlinear exploration (Pellicano & den Houting, 2022)
- Universal Design for Learning to ensure engagement across communication styles (CAST, 2024)
- Paulo Freire’s dialogical pedagogy, where students co-create knowledge, not absorb it passively (Freire, 1970)
2. Employment: valuing neurodivergent contributions.
“Autistic professionals are not less capable—they are structurally excluded.”
CEM proposes:
Outcome-based productivity instead of time-based metrics. Research on employment trajectories for autistic adults emphasizes that success is rarely determined by hourly productivity, and that time-based models often misunderstand deep-focus strengths (Baldwin et al., 2014; Twumasi & Burton, 2024).
Austin and Pisano (2017) emphasize that neurodiverse teams perform best when given flexibility in work structure, communication methods, and timing, allowing individuals to engage in ways that suit their cognitive strengths. Expanding on this, Lieu (2023) highlights that such flexibility not only enhances productivity but also reduces interpersonal strain and the cognitive cost of masking, fostering more sustainable inclusion across neurodivergent team members.
Promotion based on expertise, not social fluency. Robertson (2010) warns that appraisal systems focused on sociability disadvantage analytical yet introverted professionals.
Recognition of burnout as a workplace harm, not individual failure. Qualitative studies (Miller, Rees, & Pearson, 2021) describe camouflaging and masking as unsustainable strategies and link them to burnout.
3. Healthcare: identity-affirming, not deficit-based.
“Diagnosis should not be a privilege—it should be accessible, affirming, and culturally responsive.”
CEM calls for:
Expanded, adult-informed diagnostic models.Hull et al. (2020) critique the historical reliance on male-centric and childhood-focused diagnostic criteria, advocating for frameworks that reflect the diverse ways autism manifests in adults, especially those who mask or camouflage traits.
Community-informed care that validates self-diagnosis and lived experience.As formal diagnostic routes remain inaccessible or invalidating for many, self-identification has become a critical path to autistic identity. Friedman et al. (2024) found that self-diagnosed autistic women and gender-diverse adults reported increased clarity, relief, and belonging when their identities were affirmed outside traditional medical gatekeeping.
Recognition of intersectional barriers.Structural inequalities disproportionately affect access to care and diagnosis. Morgan et al. (2017) document how Black and Indigenous autistic individuals face misdiagnosis and medical racism. Socio-economic disadvantage, racialized experiences, and delayed diagnoses compound exclusion from timely and appropriate support (Shivers, 2025).
Holistic integration of co-occurring conditions.Many autistic individuals experience complex health profiles, including joint hypermobility syndromes, dysautonomia (such as POTS), and autoimmune disorders. Casanova et al. (2020) and Owens et al. (2021) emphasize the need for integrated, cross-disciplinary care models that reflect the full neurobiological and somatic realities of autistic life.
Critical Self-Reflection: Preventing Institutional Co-optation
Even transformative models risk becoming co-opted. As Ignacio Martín-Baró (1994) warned, liberation frameworks must remain accountable to the people they aim to serve—especially those most marginalized.
To avoid this:
- CEM must be neurodivergent-led, not just informed
- It must center intersectionality, not assume a singular neurodivergent experience
- It must remain critical of power, even as it is institutionalized
- If it becomes another “tool of reform,” it risks reifying the very structures it seeks to dismantle.
Final Thoughts: Designing with Neurodivergence in Mind
“We do not need better ways to ‘prove’ disability—we need systems that don’t demand proof in the first place.”
CEM envisions a world where:
- Autistic people are not forced to mask or suffer to survive
- Institutions are built around diverse cognitive rhythms
- Support is embedded, not conditional
Difference is not tolerated—it is foundational
As Foucault (1977) argued, institutions are not neutral—they are technologies of normalization. CEM’s vision is to replace these technologies with ecosystems that affirm and sustain neurodivergent life.
“Neurodivergence is not a deviation from the norm—it is a reminder that the norm was never designed for all of us.”
Chapter 8
Layer 4 - Cultural Narratives and Representation
“Culture does not merely reflect beliefs about neurodivergence; it constructs the social realities in which recognition, legitimacy, and erasure occur.”
The fourth layer of the Cognitive Ecology Model (CEM) addresses the cultural frameworks that shape how neurodivergence is defined, interpreted, and either validated or dismissed. Unlike the previous layers, which focus on individual, relational, or institutional dimensions, this layer examines culture as a macro-level force—one that governs whose identities are acknowledged, whose struggles are rendered visible, and whose neurodivergence is systematically obscured.
Culture functions not as a passive backdrop but as an active force in shaping diagnosis, access, and legitimacy. Through media representations, public discourse, and social norms, it determines:
Who is recognized as autistic and whose behaviors are pathologized;
Who is granted accommodations and who is dismissed;
Who is allowed to self-identify, and who must provide proof of neurodivergence (Nadesan, 2005; Eyal et al., 2010).
These narratives do not merely describe autism—they define it. They operate as gatekeeping mechanisms, establishing normative expectations around what autism “looks like” and who fits the mold. Media portrayals, diagnostic stereotypes, and cultural assumptions shape not only personal self-understanding but also public policy and institutional responses to neurodivergent individuals (Murray, 2008; Nadesan, 2005).
Neurodivergence thus emerges not only as a neurological fact but as a cultural category. For instance, a white, middle-class boy with an intense interest in astronomy may be readily identified as autistic, while a Black girl with sensory sensitivities and a passion for social justice may be viewed as oppositional (Morgan et al., 2017). Similarly, a nonbinary adult experiencing burnout in a corporate setting may be described as “overly sensitive” rather than autistic (Strang et al., 2018). These disparities are rooted in deeply embedded cultural scripts about race, gender, and normativity.
One particularly salient form of exclusion is experienced by late-diagnosed individuals. Many were overlooked in childhood for not matching stereotypical presentations of autism (Bargiela et al., 2016), only to face skepticism and invalidation when seeking recognition as adults. These responses reinforce the myth that autism must be visibly extreme or childhood specific. Many are told, “You seem too social,” or “You’ve succeeded without a diagnosis—why now?”—statements that reflect deep-rooted cultural assumptions rather than clinical reality (Botha et al., 2021).
These cultural narratives have material consequences. They affect who gains access to diagnosis, support, and legal protections (Nicolaidis, 2012; Pellicano & den Houting, 2022; Pearson & Rose, 2021; Morgan et al., 2017). CEM therefore conceptualizes culture not as background context but as a central environmental force that determines the accessibility and survivability of neurodivergent life.
The influence of culture is not confined to this layer—it extends throughout all other layers of the model.
Table 37: Cultural Dynamics Across the Layers of the Cognitive Ecology Model (CEM)
| CEM Layer | Cultural Influence | Impact on Neurodivergent Experience |
|---|
| Layer 1: Individual Cognition | Cultural values shape which cognitive traits are seen as valid or deficient | Internalized stigma and misattributed self-blame |
| Layer 2: Relational Cognition | Norms dictate acceptable social behaviors | Direct communication styles may be penalized (Milton, 2012) |
| Layer 3: Institutional Structures | Institutions mirror dominant cultural norms | Policies privilege those who can mask or conform (Silberman, 2015) |
| Layer 4: Cultural Narratives | Culture defines who is recognized as neurodivergent | Late-diagnosed, gender-diverse, and racialized individuals face erasure (Hull et al., 2017) |
| Layer 5: Structural Systems, Policy, & Intersectionality | Cultural norms and systemic power determine access to diagnosis, support, and protection | Marginalized individuals face compounded exclusion due to race, gender, class, and disability (Pearson & Rose, 2021; Mason et al., 2019) |
Understanding culture as a force that constructs—not just reflects—neurodivergence allows for a deeper analysis of power, visibility, and legitimacy in autistic life. The following subsections examine how media, norms, and policy enforce this cultural gatekeeping and explore how these forces can be transformed.
Media Representation: The Erasure of Complex Neurodivergence
“When the dominant narrative doesn’t reflect your reality, it takes longer to find yourself.”
Media plays a central role in shaping public perceptions of autism. While formal diagnostic frameworks originate in clinical research, the general population primarily learns about autism through cultural representations—television, film, literature, and digital media. These portrayals do not simply reflect autistic realities; they actively construct normative understandings of what autism is and who counts as autistic (Murray, 2008).
Historically, mainstream media has depicted autism through a limited set of stereotypes, reinforcing reductive tropes that obscure the diversity of autistic experiences (Draaisma, 2009). These tropes include:
Table 38: Autism Tropes
| Stereotype | Media Examples | Why This Is Harmful |
|---|
| The Savant Genius | Rain Man (1988), The Good Doctor (2017) | Promotes the misconception that all autistic individuals possess extraordinary abilities, marginalizing those with different cognitive profiles (Happé & Frith, 2020). |
| The Socially Awkward White Male | Sheldon Cooper (The Big Bang Theory), Sherlock Holmes (Sherlock) | Frames autism as a white, male phenomenon, erasing women, nonbinary people, and racially diverse autistic individuals (Lindsay et al., 2018). |
| The Emotionless Robot | Data (Star Trek), The Accountant (2016) | Reinforces the myth that autistic people lack empathy, contributing to social stigma and relational misunderstandings (Milton, 2012). |
| The Disruptive Child | Parenthood (2010–2015), Atypical (2017–2021) | Positions autism as a childhood condition, rendering autistic adults invisible and invalidating late-diagnosed experiences (Silberman, 2015). |
These cultural archetypes do not merely fail to capture the full spectrum of autism—they define its public boundaries, determining which identities are legible and which are erased (O'Dell et al., 2016).
Barriers to Self-Recognition
For many late-diagnosed or underrepresented autistic individuals, the dissonance between media portrayals and lived experience creates significant barriers to self-recognition. Autistic adults often report dismissing the possibility that they could be autistic because they did not identify with the dominant media tropes. Common internalized messages include:
“I’m not a genius, so I can’t be autistic.”
“I feel too much—I’m not emotionally cold.”
“I’ve always worked hard to be social, even if it exhausts me.”
As a result, many individuals attribute their struggles to personal shortcomings rather than neurodivergence, delaying access to diagnosis, support, and self-acceptance (Botha et al., 2021).
Media Influence on Diagnosis and Policy
The cultural influence of media extends beyond individual perception; it impacts the clinical and institutional systems that govern access to diagnosis and support. Educators, clinicians, and policymakers are not immune to the biases shaped by media narratives (Nadesan, 2005). The consequences are substantial:
Table 39: Diagnostic Impact of Cultural Assumptions
| Cultural Assumption | Diagnostic Impact |
|---|
| Autism is a childhood condition. | Adults seeking diagnosis are often dismissed or misdiagnosed (Nicolaidis, 2012). |
| Autism is male-presenting. | Women, nonbinary people, and gender-diverse individuals are frequently overlooked (Hull et al., 2017). |
| Autistic people lack emotional depth. | Empathic or emotionally expressive autistics are deemed “too emotional” to be autistic (Milton, 2012). |
| Autism must be visibly extreme. | High-masking individuals or those with internalized traits are excluded from diagnosis (Bargiela et al., 2016). |
These assumptions not only distort clinical understanding but also shape eligibility for services, accommodations, and legal protections (Pellicano & den Houting, 2022).
Intersectional Erasure in Media
The erasure of autistic complexity in media is compounded by intersecting forms of marginalization. Media portrayals overwhelmingly center white, cisgender, male characters with narrow social profiles, leaving little space for the representation of:
Table 40: Autistic Erasure in Media
| Group | Mode of Erasure | Consequences |
|---|
| Women & Nonbinary Individuals | Rare or overly stereotyped portrayals | Late or missed diagnosis due to gendered expectations (Hull et al., 2020). |
| Autistic People of Color | White-dominated narratives | Increased misdiagnosis with behavioral disorders (Morgan et al., 2017). |
| Non-Savant, Creative or Relational Autistics | Absence of artistic, caregiving, or humanities-focused characters | Undervaluation of non-stereotypical skills in employment and education (Lindsay et al., 2018). |
Media representation does not merely reflect neurodivergent reality—it produces it. The absence of diverse autistic narratives results in the systematic erasure of individuals who do not conform to dominant stereotypes (Lory, 2019).
Toward Inclusive Representation
Cultural narratives must be reshaped to reflect the heterogeneity of autistic experience. This includes:
Supporting autistic-led storytelling that captures the nuance of lived experience;
Rejecting deficit-based and one-dimensional portrayals;
Amplifying stories that reflect intersectional identities across race, gender, class, and age.
Until media narratives broaden to include the full spectrum of neurodivergent life, many autistic individuals will remain invisible—not because they are undiagnosable, but because the culture has not yet learned to recognize them.
The Role of Cultural Norms: How Society Defines “Normal” and “Other”
“Who is considered ‘normal’ is a cultural decision, not a biological fact.”
While media constructs the visible stereotypes of autism, cultural norms operate more subtly policing the boundaries of what behaviors, communication styles, and cognitive patterns are deemed acceptable. These norms are not objective or universal; they are the product of historical, economic, and political forces that frame difference as deficiency (Baglieri & Shapiro, 2017; Rose, 2001).
Within Western industrialized societies, the dominant cultural script privileges:
- Speed and productivity over depth and reflection;
- Verbal fluency and charisma over alternative communication;
- Compliance and conformity over self-regulation and autonomy.
- These values form the foundation of what is considered “normal,” while rendering neurodivergent traits pathological or undesirable (Baglieri & Shapiro, 2017).
Table 41: Neurodivergent Trait Re-interpretation
| Neurodivergent Trait | Dominant Interpretation | Neurodivergent-Affirming Framing |
|---|
| Deep interest in specialized topics | Obsessive, fixated | Passionate, focused, detail-oriented |
| Direct, literal communication | Rude, awkward | Honest, efficient, precise |
| Sensory sensitivity | Overreactive, dramatic | Attuned, perceptive |
| Preference for routine | Inflexible, rigid | Structured, reliable |
These distinctions are not rooted in neurology alone—they are socially constructed judgments about what kinds of minds and bodies are considered valuable (Goodley, 2014). As such, cultural norms play a foundational role in determining who is viewed as neurodivergent and who is simply “quirky,” “difficult,” or “noncompliant.”
The Paradox of Invisibility for Late-Diagnosed Autistics
For many late-diagnosed individuals, cultural norms produce a paradox of simultaneous invisibility and hypervisibility. As children, they may be overlooked for not matching stereotypical autism traits—especially if they are female, nonbinary, or racialized. As adults, they are often invalidated because their ability to “pass” is interpreted as evidence that they do not need support (Botha et al., 2021).
This double bind is not accidental—it is a direct outcome of neuronormative cultural expectations that:
Pathologize divergence from social rules;
Reward masking and penalize authenticity;
Associate visible struggle with legitimacy, while dismissing internal effort.
How Culture Enforces Recognition and Erasure
Cultural norms intersect with other identity categories—race, gender, and class—to determine who is diagnosed, who is misdiagnosed, and who is erased entirely (Davidson & Orsini, 2013).
Table 42: Consequences of Culture on Autistic Identity
| Identity Factor | Cultural Impact | Consequences |
|---|
| Gender | Social expectations of empathy, social fluency, and emotional labor mask autistic traits in women and nonbinary people | Higher rates of masking, lower rates of diagnosis (Hull et al., 2020) |
| Race | Behaviors viewed as “autistic” in white children are reframed as defiance or aggression in Black and Brown children | Increased misdiagnosis with behavioral disorders (Morgan et al., 2017) |
| Class | Access to private assessments and advocacy differs significantly based on income | Working-class individuals are more likely to be undiagnosed or unsupported (Mason et al., 2019) |
These disparities reveal that autism is not just a medical label—it is a culturally mediated identity shaped by systems of power.
Masking as a Cultural Survival Strategy
“I didn’t choose to mask—I learned I had to.”
Masking refers to the strategies autistic individuals use to conceal or compensate for their neurodivergent traits in order to meet social expectations. While often portrayed as a personal coping mechanism, masking is more accurately understood as a cultural demand enforced by neuronormativity (Raymaker & Nicolaidis, 2013).
Table 43: Consequences of Masking for Cultural Demand
| Masking Behavior | Cultural Demand | Long-Term Consequences |
|---|
| Forcing eye contact | Eye contact is equated with honesty and confidence | Fatigue, anxiety, dissociation |
| Suppressing stimming | Physical self-regulation is viewed as disruptive or immature | Loss of sensory regulation, burnout |
| Memorizing social scripts | Spontaneity is expected in conversation | Cognitive overload, social exhaustion |
| Over-explaining emotions | Autistic affect is often misread | Self-doubt, emotional suppression |
Rather than pathologizing autistic behavior, it is essential to ask why social systems are built in ways that punish neurodivergence. Who benefits from defining empathy as eye contact, or professionalism as charisma? And who is excluded when these values go unquestioned?
Challenging the Definition of “Normal”
Culture shapes the line between inclusion and exclusion. Until the definitions of normalcy are dismantled and reimagined, neurodivergent individuals will continue to face:
Delayed recognition due to restrictive gender and racial expectations;
Chronic masking that leads to burnout, anxiety, and identity fragmentation;
Structural invalidation by systems that reward conformity over authenticity.
True cultural change requires more than accommodation—it demands a transformation of the standards themselves. Neurodivergence should not be something that must be proven, explained, or softened to gain acceptance. It should be recognized as a valid, natural, and valuable expression of human diversity.
The Intersection of Culture & Policy: How Narratives Shape Access
“Culture is not just about representation—it determines access to diagnosis, services, and legal protection.”
Cultural narratives about autism do not operate in isolation—they directly shape the development of policies, diagnostic frameworks, and institutional practices. From healthcare and education to workplace law and public funding, the dominant cultural understanding of autism influences who receives recognition, who is denied support, and whose existence is systematically ignored (Huang et al., 2020).
The intersection of cultural norms and policy reveals a central truth of the Cognitive Ecology Model (CEM): access is not merely a logistical issue—it is a sociopolitical construct built upon underlying assumptions about who is “legitimately” autistic.
How Cultural Narratives Shape Policy
Policy is often treated as a neutral response to empirical evidence, but in reality, it reflects longstanding cultural assumptions. When autism is portrayed as a childhood disorder, a medical impairment, or a male-centered phenomenon, these narratives become embedded in law and institutional design.
Table 44: Costs of Cultural Narratives
| Cultural Narrative | Policy Outcome | Real-World Consequence |
|---|
| Autism is a childhood condition | Research and funding prioritize early intervention | Autistic adults face a near-total absence of services (Mason et al., 2019) |
| Autism is a severe impairment | Support is reserved for those with visible “deficits” | High-masking individuals are denied accommodations (Botha et al., 2021) |
| Autism is male-presenting | Diagnostic criteria remain gender-biased | Women and nonbinary individuals are frequently misdiagnosed (Hull et al., 2020) |
| Autistic people lack emotional or social capacity | Policies exclude autistic individuals from parenting, caregiving, or leadership roles | Autistic adults face discrimination in family courts, workplaces, and healthcare (Pearson & Rose, 2021) |
Policies shaped by these narratives do not reflect the lived experiences of autistic individuals—they reflect whose experiences are recognized and whose are erased.
Barriers to Diagnosis: Culture and Policy in Action
“Recognition is not only about symptoms—it’s about who has access to being believed.”
Diagnosis is not a purely clinical act; it is also a political one. Access to diagnostic services, especially for adults, is shaped by intersecting forms of exclusion:
Table 45: Barriers to Diagnosis
| Barrier | Why It Exists | Impact |
|---|
| Cost of Diagnosis | Adult assessments are rarely covered by public health systems | Working-class individuals must self-identify or go undiagnosed (Mason et al., 2019) |
| Gender Bias in Criteria | Historical research focused on boys and externalized traits | Women and gender-diverse individuals are diagnosed late or misdiagnosed (Hull et al., 2020) |
| Racial & Cultural Bias | Diagnostic tools are normed on white populations | Black and Brown individuals are labeled as defiant rather than neurodivergent (Morgan et al., 2017) |
| Medical Gatekeeping | Diagnosis is framed as a pathology to be proven, not a neurotype to be recognized | Late-diagnosed individuals face skepticism and invalidation (Raymaker & Nicolaidis, 2013) |
These barriers reflect the structural nature of diagnostic exclusion: autism is not recognized where society has failed to look.
Case Study: “Too Successful to Be Autistic”
“I was denied accommodations because I seemed ‘too articulate’—as if competence invalidates my diagnosis.”
One of the most pervasive consequences of policy shaped by cultural bias is the erasure of high-masking, late-diagnosed autistic adults. Because success is culturally coded as incompatible with disability, many individuals are denied recognition and support based on their perceived functioning. This results in a dangerous cycle:
High-masking individuals are denied accommodations;
They experience chronic burnout and anxiety;
When they seek help, they are dismissed because they appear “too capable.”
Policies that conflate visible struggle with legitimate need reproduce the myth that only the most visibly impaired are deserving of recognition or protection (Botha et al., 2021).
The Erasure of Autistic Adults in Public Systems
“If support ends at 18, what happens when you’re still autistic at 28, 48, or 68?”
Despite widespread recognition that autism is a lifelong condition, most public resources are concentrated in childhood interventions. Funding for autism research, support services, and education overwhelmingly targets early development, with little infrastructure available for autistic adults.
Key gaps include:
- Autism-informed mental health care for adults;
- Workplace support outside of tech and STEM fields;
- Long-term housing, social services, and financial planning for aging autistic populations.
This omission reflects cultural narratives that position autism as a childhood crisis to be “treated,” rather than a lifelong identity requiring structural support and inclusion (Huang et al., 2020).
Final Thoughts: Cultural Transformation as Policy Reform
“You cannot build equitable policy on exclusionary narratives.”
As long as cultural narratives remain narrow, stereotyped, and deficit-oriented, policy will continue to replicate systemic barriers. The path forward requires not only more funding or broader diagnostic tools—but a reimagining of autism itself.
To move toward equity, policy must be grounded in:
- An understanding of autism as dynamic, contextual, and intersectional;
- Recognition of self-identification as valid;
- Support structures that extend across the lifespan, not just early development.
The Cognitive Ecology Model challenges us to see policy not as a technical fix, but as a cultural instrument—one that must be reshaped by neurodivergent leadership, intersectional justice, and cognitive liberation. Where neurodivergent leadership offers systemic insight, neuroqueer praxis pushes us to reimagine the very terms of legitimacy, expression, and relationality.
A Critical Reflection on CEM and Cultural Narratives
“Can any framework fully capture the complexity of neurodivergent life?”
The Cognitive Ecology Model (CEM) offers an expansive framework for understanding autism as an interaction between individual cognition, relational dynamics, institutional systems, and cultural narratives. It rejects deficit-based medical models and repositions neurodivergence as an ecological and contextual phenomenon. However, like any theoretical model, CEM must also be critically examined for its potential limitations and unintended consequences.
Without ongoing reflection, even liberatory models can reproduce the very systems they aim to dismantle.
Key Questions for Evaluating CEM’s Cultural Approach
To remain ethically grounded and practically effective, the CEM must continually address a set of core questions:
Table 46: Key Questions for CEM
| Critical Question | Why It Matters |
|---|
| Does CEM actively challenge existing cultural biases? | If not, it risks legitimizing dominant narratives under a new guise (Huang et al., 2020). |
| How does CEM integrate intersectionality? | Without explicit attention to race, gender, and class, the model may exclude marginalized identities (Pearson & Rose, 2021). |
| Does “ecological framing” risk depoliticizing autism? | Emphasizing environment without addressing power may downplay systemic oppression (Botha et al., 2021). |
| Who controls how CEM is implemented? | If led by institutions rather than neurodivergent communities, CEM may be used to enforce compliance rather than foster liberation (Mason et al., 2019). |
These questions are not theoretical critiques—they are practical safeguards. They ensure that CEM does not become a tool for institutional adaptation that leaves systemic injustice intact.
The Risk of Reinventing Normativity
“Even new models can become old cages.”
Although CEM offers an alternative to the medical model, it risks replicating exclusion if not implemented critically. Potential pitfalls include:
Creating a new idealized autistic profile.
If CEM overemphasizes autonomy and environmental fit, it may marginalize autistic people with higher support needs.
If CEM becomes associated with high-functioning, late-diagnosed narratives, it could invisibilize those with co-occurring disabilities or less socially palatable traits.
Reinforcing institutional control.
Institutions may adopt CEM in theory but use it to justify superficial changes while avoiding systemic transformation.
For example, a workplace might claim to be “CEM-aligned” by offering sensory-friendly lighting but continue to reward neuronormative communication and penalize autistic behavior.
Without deliberate safeguards, CEM could be institutionalized in ways that co-opt its liberatory potential.
The Need for Intersectionality and Decolonial Analysis
“If a model does not center the most marginalized, it is incomplete.”
CEM must go beyond generic inclusivity and explicitly center intersectional and decolonial perspectives. Historically, autism research and policy have been dominated by white, Western, male, and non-autistic voices (O’Dell et al., 2016). These power dynamics have shaped:
Who is considered autistic;
Whose voices are prioritized in research;
Which experiences are excluded from diagnosis, support, and media.
Table 47: CEM Risk and Response
| Identity Factor | Risk of Oversight | How CEM Must Respond |
|---|
| Race & Ethnicity | Diagnostic tools often ignore cultural expression of neurodivergence | Actively critique whiteness in autism discourse and include Black, Brown, and Indigenous perspectives (Morgan et al., 2017) |
| Gender Diversity | Nonbinary and transgender experiences are often excluded | Embed gender-expansive narratives into the core framework (Hull et al., 2020) |
| Economic Class | Assumes individuals can “choose” environments | Acknowledge systemic barriers and access inequities (Mason et al., 2019) |
CEM cannot be a framework for adaptation alone—it must also be a framework for justice.
Who Owns the Narrative?
“A model should not define autistic people—autistic people should define the model.”
For CEM to remain a tool of liberation, its ownership must remain within neurodivergent communities. The risk of co-optation is real: if institutions, clinicians, or policymakers become the primary interpreters of CEM, it may be retooled to serve managerial goals rather than social transformation.
Consider the following institutional risks:
- In education: CEM might be used to push autistic students into “resiliency training” rather than challenge ableist curricula.
- In workplaces: Employers might claim the environment has been “adapted” and deny further accommodations, placing the burden back on the autistic employee.
In healthcare: Clinicians might apply CEM to describe behavioral patterns without addressing the broader power structures that exclude neurodivergent people from care.
To resist these outcomes, the implementation of CEM must be:
- Neurodivergent-led;
- Transparent in its goals;
- Accountable to those most impacted by systemic barriers.
Final Thoughts: Keeping CEM Radical
“A framework is only as radical as its resistance to power.”
The Cognitive Ecology Model is most powerful when it refuses to remain neutral. Its value lies not just in its descriptive accuracy, but in its political clarity: it reveals that autism is not merely a set of traits—it is a socially mediated experience shaped by power, culture, and access. To remain effective, CEM must:
- Actively critique the cultural forces it seeks to map;
- Prioritize marginalized voices not as an add-on, but as a foundation;
- Stay rooted in community-driven praxis, not academic abstraction;
Reject institutional co-optation and demand systemic change.
The goal is not simply to offer a better map of autism—it is to rewrite the terrain itself.
CEM’s Approach to Cultural Transformation
“Culture is not neutral—it constructs the terms of inclusion and exclusion. To transform how neurodivergence is understood, we must change not just policy, but the stories we tell.”
At its core, the Cognitive Ecology Model (CEM) is not just a diagnostic lens—it is a political and cultural intervention. If dominant cultural narratives determine who is seen, supported, or erased, then cultural transformation is a necessary step toward cognitive justice. CEM calls for more than awareness or tolerance; it demands a reimagining of the systems, representations, and assumptions that govern neurodivergent life. This means shifting not only how autism is diagnosed or accommodated, but how it is defined, depicted, and lived.
1. Expanding Media Representation: Beyond the Stereotypes
“If you only see one kind of autism in media, you only recognize one kind in real life.”
Most people do not learn about autism through medical texts or policy documents—they learn through movies, television, and online content. For this reason, media holds disproportionate power in shaping public perception.
Currently, mainstream portrayals remain narrow, repetitive, and exclusionary. They center white, cisgender, male characters—often savants or socially awkward geniuses—while erasing the vast majority of autistic experiences (Murray, 2008).
Table 48: Current Stereotype vs. Needed Transformation
| Current Stereotype | Needed Transformation |
|---|
| Autism as white, male, and STEM-oriented | Reflect racial, gender, and cognitive diversity |
| Autism as a childhood condition | Include adults, elders, and late-diagnosed individuals |
| Autism as emotionless or relationally impaired | Show emotional complexity and community connections |
| Autism as “visible” and extreme | Depict subtle, internalized, and high-masking forms of autism |
Strategies for change.
Support autistic-led storytelling across film, literature, and journalism;
Challenge publishers and networks to elevate intersectional representation;
Fund and promote media that reflects the complexity of autistic lives.
Representation is not just about visibility—it is about cultural legitimacy.
2. Redefining Social Norms: From Accommodation to Structural Redesign
“The goal is not to include autistic people in existing systems—it is to redesign the systems themselves.”
Social norms around communication, professionalism, and behavior are not natural—they are culturally constructed and enforced. In schools, workplaces, and public life, autistic individuals are often pressured to conform to neuronormative expectations.
CEM reframes the issue: it’s not that autistic people fail to meet social standards—it’s that the standards are exclusionary to begin with.
Table 49: Current Norm vs. Neurodivergent-Affirming Alternative
| Current Norm | Neurodivergent-Affirming Alternative |
|---|
| Eye contact as a sign of respect | Eye contact as optional, not required |
| Small talk as default social lubricant | Value direct, info-dense communication |
| Charisma and social fluency as “professional” | Redefine professionalism to include diverse communication styles |
| Sensory environments as one-size-fits-all | Design public spaces for sensory accessibility |
Strategies for change.
Redesign hiring, schooling, and public spaces to reflect neurodivergent needs;
Train educators, clinicians, and managers to interrogate neuronormativity;
Elevate autistic voices in defining what inclusive social norms look like.
This is not about making space within the system—it is about reimagining the system itself.
3. Decolonizing Autism Narratives: Centering Intersectionality
“Autism is not a Western, white, male phenomenon—it is a global, intersectional experience.”
Most autism research has centered the experiences of white, English-speaking boys. This has led to diagnostic frameworks and policy decisions that ignore or misrepresent the lives of autistic individuals who are:
Black, Brown, or Indigenous;
Nonbinary, trans, or gender nonconforming;
Living outside of Western cultural and economic systems.
Key areas for transformation.
Race & Culture: Address racial bias in diagnostic tools and medical gatekeeping;
Gender & Sexuality: Expand research and representation to include nonbinary and transgender autistic experiences;
Global Perspectives: Build cross-cultural models of autism that challenge Western normativity (Davidson & Orsini, 2013).
Strategies for change.
Fund intersectional and decolonial research;
Incorporate community knowledge from global autistic collectives;
Challenge the authority of institutions that exclude marginalized voices.
Without intersectionality, any model of autism—no matter how well-intentioned—remains incomplete.
4. Aligning Policy with Cultural Change
“Policy must reflect the lived realities of autistic people—not outdated assumptions.”
Most autism policies still reflect old paradigms: childhood-focused, deficit-based, and rigidly categorized. As cultural narratives shift, so too must policy.
Table 50: Policy Issue vs. Needed Reform
| Policy Issue | Needed Reform |
|---|
| Services end in adolescence | Fund lifelong support for autistic adults |
| Accommodations require formal diagnosis | Recognize self-identification in legal frameworks |
| Disability laws focus on “severe impairment” | Protect all forms of neurodivergent expression and masking |
| Workplace laws reinforce “reasonable” norms | Shift toward inclusive design rather than reactive accommodation |
Strategies for change.
Push for neurodivergent-led policy design;
Reframe legal definitions of disability to include cognitive and emotional diversity;
Center flexibility, dignity, and autonomy in all systems of support.
Until law and policy reflect a transformed cultural understanding of autism, systemic exclusion will persist.
Final Thoughts: Transforming Culture from Within
“We are not waiting for cultural change—we are creating it.”
Cultural transformation is not abstract. It begins with who controls the narrative, who is funded, who is published, and who is heard. CEM calls for a shift not only in how we think about neurodivergence, but in who gets to define that thinking.
True transformation requires:
- Cultural depictions that reflect the full range of autistic life;
- Norms that welcome neurodivergent communication and embodiment;
- Policies that evolve alongside, not ahead of, autistic communities;
- Frameworks like CEM that are shaped by those they aim to represent.
- The goal is not inclusion in a flawed system—it is the creation of a new system altogether.
Chapter 9
Layer 5 - Structural Systems, Policy, & Intersectionality
"The system does not passively reflect medical knowledge—it defines who is recognized, accommodated, and excluded."
The final layer of the Cognitive Ecology Model (CEM) examines the highest level of influence: legal, economic, and political structures that govern neurodivergent recognition and access.
These structures determine:
- Who is officially recognized as neurodivergent.
- Who qualifies for accommodations and support.
- Who is left navigating systemic barriers alone.
- Where Layer 4 addressed the cultural shaping of public narratives, Layer 5 exposes the hard architecture of exclusion—the laws, policies, and institutions that concretely define:
- Who is protected under disability law.
- Who receives workplace flexibility.
- Who is economically marginalized or criminalized.
For late-diagnosed, racialized, and gender-diverse autistic individuals, these structures create invisible walls of exclusion—not because their needs are illegitimate, but because the system was never built for them (Botha et al., 2021; Pearson & Rose, 2021; Hull et al., 2017).
This layer is not just about policy—it’s about power:Who defines neurodivergence? Who writes the laws? Who is heard—and who is erased?
“Neurodivergence is not merely a cognitive trait. It is a legal, economic, and medical construct—created and enforced by institutions that determine whose minds are legitimate.”
A Critical Analysis of Legal and Policy Frameworks
"Legal systems do not see me as disabled enough to deserve accommodations, but they also do not see me as normal enough to belong."
Legal and policy systems are often framed as neutral mechanisms designed to ensure access and fairness. But for many autistic individuals—especially those who are late-diagnosed, multiply marginalized, or high-masking—these systems function less as gateways and more as filters of exclusion (Botha & Gillespie-Lynch, 2022).
Who Gets In—and Who Is Left Out?
Disability law defines:
- Who qualifies for legal protections under statutes like the Americans with Disabilities Act (ADA) and Section 504.
- Who receives access to accommodations and workplace protections.
- Who is deemed “disabled enough” to be taken seriously—and who is dismissed or disbelieved.
These legal definitions rely heavily on outdated medical models that prioritize visible, fixed impairments, sidelining the fluid, invisible, and context-dependent nature of neurodivergence (Nicolaidis et al., 2019).
Table: Barriers Built into the Law
Table 51: Systemic Barrier · Why It Exists · Impact on Neurodivergent People
| Systemic Barrier | Why It Exists | Impact on Neurodivergent People |
|---|
| Diagnosis as Gatekeeping | Formal accommodations require a medical diagnosis. Yet many face cost, bias, and inaccessible healthcare systems (Botha & Gillespie-Lynch, 2022). | Late-diagnosed and undiagnosed autistic adults are shut out from protections—despite facing the same systemic barriers. |
| Rigid Definitions of Disability | Legal models treat disability as static and visible (Kapp, 2020). | Fluctuating or masked needs are often denied accommodations, reinforcing the myth of the “high-functioning” autistic. |
| Economic Disqualification | Benefits systems judge based on outdated notions of “functional capacity.” | Autistic people may be “too impaired to work” but “too capable for benefits,” creating a no-win situation (Nicolaidis et al., 2019). |
“I had to prove I was struggling enough to deserve help, but not struggling so much that I was beyond help.”
Bureaucracy as a Weapon
Many autistic individuals report legal systems that feel hostile, invasive, and designed to reject rather than support. Accommodations become a privilege granted only to those who can:
Afford a formal diagnosis.
Navigate complex bureaucratic systems.
Prove suffering in terms that align with medical expectations.
“I was employed, so they said I didn’t need support. But my job was draining me to the point of collapse. I wasn’t thriving—I was surviving.” (personal narrative)
Why Compliance-Based Models Are Failing
Most legal protections require people to:
- Disclose their disability.
- Prove they meet criteria.
- Request accommodations.
This compliance-based model assumes the system is fair and the individual must adapt to it (Wolf & Hassel, 2001). But neurodivergence is not a fixed state—it fluctuates.
Executive function varies day-to-day.
Sensory overload depends on the environment.
Masking may conceal real distress.
Expecting neurodivergent individuals to constantly self-advocate in systems not built for them places the burden on the marginalized, not the system. Some respond to this burden not by conforming, but by refusing—neuroqueering the expectations placed on behavior, language, and productivity itself.
Table 52: What the CEM Proposes - A Structural Rebuild
| Current Barrier | CEM’s Alternative |
|---|
| Disability must be diagnosed to count. | Self-identification should be legally valid. |
| Accommodations are granted case-by-case. | Universal design should be the default. |
| Disclosure is required for legal support. | Support should be assumed, not earned. |
| Legal protections focus on childhood diagnosis. | Policies must reflect lifelong, adult neurodivergence. |
Final Thoughts: Law as a Tool of Liberation—or Exclusion
"Policy should not decide who is ‘disabled enough’—it should be built to ensure no one is excluded in the first place."
Until legal frameworks:
- Reject rigid gatekeeping,
- Embrace fluid cognitive needs, and
- Are led by neurodivergent communities,
- …they will continue to exclude those they claim to protect.
- This is not a call for minor reform. It is a demand for systemic restructuring—a legal system built by neurodivergent people, for neurodivergent lives.
- Capitalism and Neurodivergent Labor: Who Gets to Work?
"I wasn’t bad at work—I was just bad at surviving systems that weren’t made for me."
Work is more than income. It’s tied to dignity, survival, and societal value. Yet under capitalism, labor systems measure human worth through efficiency, sociability, and conformity—standards built around neuronormative assumptions (Foucault, 2008; Chapman, 2023). The late-diagnosed, racialized, gender-diverse, and high-masking autistic workers aren’t failing to work. They are being failed by systems that:
Rely on rigid time structures.
Prioritize speed over depth.
Demand performance over competence.
Deny access to accommodations unless disability is visible.
This is not a question of personal ability. It’s a structural issue: Capitalism rewards conformity and penalizes divergence (Brown & Leigh, 2018).
Table 53: How Capitalist Norms Exclude Neurodivergent Workers
| Capitalist Norm | Why It Excludes | Impact on Neurodivergent Individuals |
|---|
| 9–5 Work Schedules | Cognitive energy fluctuates across the day/week. | Burnout, fatigue, and inability to sustain employment. |
| Speed = Productivity | Autistic cognition often favors depth, accuracy, and reflection. | Slow thinkers are undervalued despite quality outcomes. |
| Charisma & Networking = Competence | Many autistic workers excel in structured, non-social roles. | Qualified candidates are filtered out by interviews & "fit." |
| Rigid Job Descriptions | Neurodivergent workers often have specialized or nonlinear skills. | Skills are unrecognized because they don’t “fit” categories. |
Rather than accommodate different cognitive rhythms, the system demands compliance with neuronormative productivity—and punishes those who deviate.
Case Study: The Burnout Cycle
"I didn’t burn out because I was lazy. I burned out because pretending to be normal took more energy than the work itself."
Stage 1: Hiring discrimination.
- Job interviews prioritize eye contact, small talk, and confidence.
- Disclosing autism frequently triggers assumptions of incompetence or rigidity, creating a barrier rather than fostering inclusion (Botha & GillespieLynch, 2022).
- Skills are ignored because the format doesn’t match cognitive strengths.
Stage 2: Workplace misfit.
- Office culture demands constant socializing.
- Meetings disrupt focus.
“Team player” means performing neurotypical behavior, not contributing meaningfully.
Stage 3: Masking and collapse.
- Workers suppress stimming, manage sensory overload, and over-prepare for social tasks.
- This masking drains cognitive energy, leading to burnout and mental health decline (Botha & Frost, 2020).
- When burnout hits, the individual is blamed, not the system.
- Why Workplace Policy Fails
Current employment law still assumes:
- Disability is visible.
- Accommodations are optional extras.
- Workers must ask for support to receive it.
- These assumptions exclude high-masking, late-diagnosed, and invisibly disabled individuals who either cannot or will not disclose. Many avoid disclosure due to:
- Fear of stigma.
- History of being disbelieved.
- Retaliation or reduced opportunities (Cleary et al., 2023).
Table 54: What Needs to Change: CEM’s Economic Vision
| Policy Problem | Why It Fails | CEM’s Solution |
|---|
| Accommodations require formal disclosure. | Many neurodivergent workers mask and avoid disclosing due to stigma (Botha & Frost, 2020). | Normalize universal accessibility—support should not require disclosure. |
| Productivity is tied to time and visibility. | Depth work, asynchronous thinking, and energy fluctuations are not measured. | Replace with output-based metrics and flexible timelines (Brown & Leigh, 2018). |
| Hiring prioritizes charisma and vague competencies. | Verbal fluency ≠ ability. Charisma ≠ performance. | Create alternative hiring pipelines with skill-based evaluations. |
"It’s not about making autistic people better workers. It’s about creating workplaces where autistic people can work without breaking."
CEM's Blueprint for Economic Reform
1. Shift to output-based work models.
- Assess work by results—not hours logged.
- Allow workers to set their own cognitive rhythms.
- Offer remote and asynchronous collaboration by default (Brown & Leigh, 2018).
2. Redesign professionalism.
- Replace vague standards like "team player" with clear, role-specific expectations.
- Drop social performance as a job requirement.
- Encourage direct communication, not small talk and soft skills.
3. Mandate universal design in employment law
- Remove disclosure as a requirement for flexibility.
- Ensure workplaces offer sensory-safe spaces, structured options, and flexible schedules.
- Create neurodivergent-led hiring and leadership pipelines.
Final Thoughts: Neurodivergence ≠ Liability
"We don’t need to teach autistic people how to work—we need to build a system that values how autistic people work."
The workplace has long treated neurodivergent individuals as liabilities. But the real liability is a system that:
Prioritizes speed over substance.
Rewards performative competence over actual skill.
Forces people to burn out just to be taken seriously.
CEM’s vision calls for economic systems rooted in accessibility, flexibility, and respect for cognitive diversity.
Until labor systems are rebuilt—not just tweaked—neurodivergent workers will remain excluded from meaningful participation.
A Critical Reflection on CEM: Avoiding a New Kind of Exclusion
"Any framework that doesn’t center the most marginalized will inevitably reinforce the systems it seeks to dismantle."
The Cognitive Ecology Model (CEM) offers a transformative departure from deficit-based medical models of autism. It reframes neurodivergence as an interaction between individuals, environments, institutions, and cultures. But no model is immune to critique—including those rooted in liberation.
Without constant reflection, even well-intentioned frameworks can become new mechanisms of exclusion.
CEM’s Limitations: What Needs Scrutiny
1. Who is centered in CEM—and who is excluded?
Despite its inclusive aims, CEM risks prioritizing the narratives of:
- White, articulate, middle-class autistic individuals.
- Late-diagnosed, verbal, high-masking populations.
- Those who have access to academic language and research platforms.
This may invisibilize:
- Autistic people with intellectual disabilities, limited speech, or co-occurring conditions.
- Multiply marginalized individuals—racialized, low-income, queer, disabled—whose experiences are shaped by structural oppression.
- Those surviving outside of formal institutions—incarcerated, homeless, undocumented, or institutionally erased.
Table 55: Potential Pitfalls of CEM
| Potential Pitfall | Why It Matters | CEM’s Responsibility |
|---|
| Centering “articulate” neurodivergent voices | Risks creating a new hierarchy of who is “deserving” of inclusion. | Prioritize diverse communicators—nonverbal, AAC users, IDD individuals. |
| Prioritizing institutional contexts (schools, jobs) | Ignores those excluded from these spaces. | Address systems like carceral institutions, housing insecurity, and survival economies. |
| Focusing on individual agency | Assumes all individuals have equal access to advocacy and self-determination. | Recognize how racism, poverty, and ableism restrict access to self-advocacy. |
Intersectionality Is Not Optional
"Neurodivergence is never just about the brain—it’s about race, class, gender, and power."
CEM must account for the ways neurodivergence intersects with other systems of oppression:
Table 56: Identity and Barriers to Recognition
| Identity Factor | Barrier to Recognition |
|---|
| Black & Brown Autistic People | Often misdiagnosed or criminalized instead of supported (Morgan et al., 2020; Davis et al., 2024). |
| Women & Nonbinary People | Diagnosed later or misdiagnosed due to gender bias in diagnostic models (Hull et al., 2017). |
| Low-Income Individuals | Lack access to diagnosis and accommodations due to cost and systemic exclusion (Nicolaidis et al., 2013). |
CEM must go beyond inclusion—it must decenter whiteness, challenge class assumptions, and embed gender diversity as a foundation, not an afterthought.
CEM and the Risk of Institutional Co-optation
"Even radical frameworks can be turned into tools of compliance if institutions control the narrative."
If not vigilantly protected, CEM may be:
- Adopted by institutions without structural change—used to justify minor reforms while preserving power hierarchies.
- Stripped of its political core, reduced to a diagnostic tool or a compliance framework.
- Used to burden neurodivergent individuals with the responsibility to adapt, while institutions avoid transformation.
- A “CEM-aligned” workplace may offer sensory-friendly lighting—but still reward charisma over competence and punish stimming or direct communication.
- Rebuilding CEM as a Justice-Based Framework
For CEM to retain its liberatory power, it must:
1. Be neurodivergent-led.
- Elevate those with lived experience, especially multiply marginalized voices.
- Shift leadership from clinicians to community.
2. Stay politically clear.
- Autism is not just neurological—it’s a sociopolitical identity.
- CEM must continue to challenge the status quo—not describe it more gently.
3. Be accountable to community.
- Not just inclusive in language, but in practice.
- Build feedback systems, participatory research, and structural accountability into CEM itself.
Final Thoughts: A Model Must Evolve or It Will Regress
"CEM must remain a tool for justice—not a blueprint for assimilation."
To avoid becoming a new cage wrapped in inclusive language, CEM must:
- Be willing to critique itself.
- Expand beyond academic and institutional contexts.
- Prioritize the experiences of those most affected by systemic exclusion.
- A static model will always replicate static systems.
- A liberatory model must grow, challenge itself, and center those historically left out of every conversation about autism.
Chapter 10
Layer 6 – Meaning, Purpose, and Praxis
The Power of Mapping
CEM invites individuals, families, and organizations to ask: Which layers are most constricted right now? Where is support missing? Where is masking most intense? It is a model that moves with you, through grief, discovery, and reorientation.
This is especially critical for late-diagnosed people who must re-narrate their lives with new insight. CEM provides a frame that affirms: you were never broken—the system never saw you.
What Makes CEM Different
Unlike the medical model, which isolates traits within individuals, or the neurodiversity paradigm, which can become too abstract or identity-focused, CEM offers a systemic, flexible, lived framework. It holds space for nuance, contradiction, and movement. It is not a checklist—it is a map.
Table 57: Medical Model vs Neurodiversity Paradigm vs CEM
| Model | Core Lens | Limitations |
|---|
| Medical Model | Deficit/Disorder | Ignores systems, relational trauma, or environment |
| Neurodiversity Paradigm | Identity/Difference | Risks flattening trauma, assumes equal access to self-advocacy |
| Cognitive Ecology Model | Systemic/Relational | Requires reflective engagement; still emergent in institutional use |
Exclusion Feedback Synpraxis: From Marginalization to Meaning-Making
Synpraxis is a term I coined to describe a relational process of emergent theory-building through co-creation. It blends syn- (together) and praxis (embodied action and reflection) to name the recursive, collaborative generation of insight that arises when people in relationship metabolize experience into meaning.
Unlike traditional academic frameworks that prioritize static models or linear logic, Synpraxis is dialogical, iterative, and rooted in lived complexity. It holds that theory does not precede practice, nor does practice merely apply theory—instead, the two are woven together in real time through relational resonance, rupture, and repair.
Synpraxis assumes that wisdom often emerges from the margins and that the act of creating together across difference is itself a method of discovery. This is particularly true for multiply neurodivergent and disabled individuals, whose ways of knowing have long been excluded from formal knowledge systems. Synpraxis reclaims knowledge production as an act of collective liberation.
Exclusion Feedback Synpraxis (EFS) is a conceptual framework that crystallized during the participatory process of developing the Cognitive Ecology Model. It refers to the dynamic through which individuals—especially multiply marginalized, neurodivergent people—transmute experiences of exclusion into emergent insight. This recursive process of being silenced, misunderstood, or pushed out of normative systems generates not just pain but perspective (de Beer & Griffin, 2025).
Rather than internalizing systemic invalidation, EFS captures how relational feedback loops—especially those forged in communities of care—can catalyze a shift toward clarity, coherence, and collective transformation. The “synpraxis” aspect of the model emphasizes co-creation: it is through collaborative reflection, resonance, and resistance that exclusion becomes feedback and feedback becomes theory.
In this sense, EFS is both a lived experience and a methodological approach. It is disability justice in action. It honors the reality that those most affected by systems of harm often hold the deepest wisdom about how to reimagine them. . In many ways, Exclusion Feedback Synpraxis is an enactment of neuroqueer praxis: a refusal to be defined by normative systems, and a reclamation of meaning through rupture, embodiment, and relational knowing. Where the world says “breakdown,” we say breakthrough.
Toward Systems of Belonging
CEM is ultimately about belonging. Not the performative kind, but the kind that emerges when systems bend toward humanity—when relationships are built on mutual resonance, not compliance. When schools ask what do you need?, not what’s wrong? When workplaces adapt to people, not the other way around. This approach aligns with Watkins and Shulman’s (2008) call for liberatory practices that reframe systems as living, relational, and fundamentally co-constructed.
CEM does not offer a universal solution. It offers a compass, a language, and a set of questions. It offers a path back to self-trust
In the next section, I explore how this model played out in real time through the public workshop: how it resonated, adapted, and revealed not just the pain of exclusion, but the possibility of transformation.
Participatory Feedback as Praxis: Voices from the Workshop
In alignment with CEM’s foundational claim—that cognition is emergent within relationships—the feedback gathered from workshop participants serves not as anecdote, but as epistemic resonance. A post-series survey invited reflection on both content and impact, yielding responses that were not only affirming but conceptually catalytic. Though the sample was small (n=4), the depth of engagement was profound, revealing the ways in which theory becomes praxis through shared recognition, vulnerability, and recursive reflection. Participants provided written consent for their words to be used anonymously in this thesis. No names or identifying details have been included. All quotations are used with permission and reflect the language participants chose to share.
One respondent shared:
“Session 16 was probably the most helpful, giving me language to translate my mind.”
Another reflected:
“For me, the early pieces were the most edifying. But the entire series was needed to better understand you, which is what contectualized the concepts you were discussing.”
Participants consistently reported affective shifts—both in their self-understanding and in their frameworks for engaging others:
“I feel far more comfortable admitting that I'm a hypermasking autist now. And while I can't say I'm liberated, I'm at least oriented in that direction now.”
“I am more understanding and accepting of my own disabilities and more sensitive to others as well.”
What emerged most clearly was that CEM offered not just language but legibility. People recognized themselves within the framework—and in doing so, experienced both relief and renewed clarity.
Even dissonance became part of the process:
“I had moments throughout the series where I identified with the content, and moments where I found myself resisting the alignment, because of this deep seated need to mask. I'm working on it though, and will probably revisit the series again in the future for a refreshed perspective.”
This dynamic reflects the model’s recursive nature. CEM does not expect immediate clarity but allows readers to metabolize insight across time, affect, and experience.
When asked what they’d love to see more of in future offerings, responses included:
“Well… you’re already working on the AI bit for me… so… I’ll have to get back to you*”“I would love to see an expansion into physical rituals and practices”“I really appreciated your own ‘not a meditation’ in recent post”“Anything geometric in presentation”
On potential future formats (course, community, book, retreat), participants differed—but all emphasized accessibility and emotional resonance:
“It’d depend on the format… Course - respectfully, I’m not sure I’d have the energy for something potentially so dense in this format Community - I’m there. Period. Book - <$30 I’ll grab it, I’d love to see the expanded thoughts on all of it (possibly with more collaboratibility in the chapters) Retreat - I’d be concerned about cost, but I feel all of the other three come together to form this one”
This is Exclusion Feedback Synpraxis in action: theory-building through shared resonance, relational insight, and lived affirmation. Each quote reflects not just an experience of being seen, but a commitment to seeing more clearly. CEM was not only understood; it was felt, adapted, and extended by those who engaged it.
Their words now shape the work in return.
Workshop: Transformative Education for Neurodivergent Liberation
The 25-session workshop titled Transformative Education for Neurodivergent Liberation was developed as both a pedagogical experiment and a praxis-based application of the Cognitive Ecology Model (CEM). It was published on Substack between April and July 2025, with two sessions released weekly. The series was open-access, with no paywalls or gatekeeping, allowing for broad participation. The format was intentionally designed to model the very principles it teaches: accessibility, relationality, transparency, and responsiveness—reflecting a relational approach to access where mutual understanding and co-created conditions support genuine inclusion (Davidson, 2010).
Each session combined narrative, critical theory, systemic analysis, and reflective prompts. Some were rooted in personal storytelling, others in direct critique of existing systems. All were crafted to invite resonance, reflection, and reframing. While the series had a clear arc and thematic structure, it was also emergent—shaped by reader engagement, personal insights, and iterative clarity that unfolded across the process.
On Voice and Form: Rhetorical Choices as Praxis
A key element of this workshop was not only what was being communicated, but how. From the outset, the series rejected traditional academic delivery in favor of a metamodern rhetorical strategy—specifically, what I call a rhetorical meme form. This style blends critical theory, personal narrative, pop culture resonance, emotional tone shifts, and layered symbolism in a nonlinear but intentional arc. It is a form built for complexity. For multivalence. For truth that doesn’t flatten (Freinacht, 2017; Vermeulen & van den Akker, 2010).
Rhetorical meme form draws from metamodern aesthetics, oscillating between irony and sincerity, intellect and vulnerability, rupture and repair. It speaks in a voice that is both deeply felt and critically aware, refusing academic elitism while also resisting the empty gestures of superficial affirmation. This style was not incidental—it was integral. It allowed the workshop to be accessible, emotionally resonant, and structurally flexible, especially for neurodivergent participants whose processing styles often resist rigid, linear, or abstract formats (Price, 2011; Yergeau, 2018).
By combining vulnerability, critique, and reflection in a conversational tone, I created a “power-with” dynamic—inviting participants to co-create meaning rather than receive pre-determined truths. This strategy aligns with the Cognitive Ecology Model, which understands cognition as emergent within relationships and environments. Through form, not just content, the workshop enacted its own theory.
The rhetorical style also created a narrative multiplicity: participants were not passive readers but relational interpreters. Each could locate themselves within the material in different ways—some through emotional resonance, others through systems critique, and others through lived experience. The format held ambiguity and contradiction, not as failure, but as signal: the model was working if readers saw themselves and yet felt stretched.
In doing so, rhetorical meme form became a pedagogical intervention. It resisted the ableist, hierarchical voice of traditional education and replaced it with something messier, more human, more alive. The style itself was part of the healing—an invitation to feel safe enough to show up whole (brown, 2017; Piepzna-Samarasinha, 2018).
Three Thematic Arcs
The workshop follows three major thematic arcs, each representing a layer of the Cognitive Ecology Model:
Foundations — Identity, Truth, and Positionality
This arc introduces the core principles of identity formation, internalized narratives, and systems of labeling. It includes exploration of masking, burnout, diagnostic gatekeeping, and the myth of self-sufficiency. The sessions in this arc challenge binary thinking and open space for reframing neurodivergent experience through the lens of context, not character. These sessions are grounded in intersectionality in its original context—articulated by Kimberlé Crenshaw (1989)—as a legal and feminist framework that addresses overlapping systems of oppression.
Sessions include:
- Why I’m Leading This Workshop (My Positionality)
- Positionality Isn’t Optional
- What Is Intersectionality, Really?
- Diagnosis Is Not the Beginning
- Functioning Labels Are Harmful to Us All
- Support Needs Are Not a Hierarchy
- The Myth of Self-Sufficiency
- Burnout Is Not a Personal Failing
- Masking and the Loss of Self
Systems, Structures & Paradigms — From Surveillance to Belonging
This arc deconstructs the systemic conditions in which autistic people are named, shaped, and often harmed. It critiques medical models, awareness campaigns, and institutional narratives that flatten or distort neurodivergent experience. It also introduces paradigmatic alternatives and maps the need for structural redesign—challenging what Foucault (1977) described as the “medical gaze” that transforms people into objects of institutional knowledge and control.
Sessions include:
- Not All Autistic People Are Seen
- When Advocacy Reinforces the Status Quo
- Visibility ≠ Liberation
- The Problem with “Awareness” Campaigns
- From Inclusion to Belonging
- Medical Model vs. Neurodiversity vs. Cognitive Ecology
- Intersectionality in Practice
- Undiagnosed ≠ Undeserving
- How Ableism Shapes All Systems
- How Education Systems Fail Neurodivergent Kids
Liberation, Healing & Reimagining — Building the Future Together
This final arc centers healing, co-creation, and reclamation. It explores themes of interdependence, self-definition, and rest as resistance. It invites readers into the possibility of new ways of being—with ourselves, each other, and the systems we co-create. These sessions respond to the epistemic injustice long experienced by autistic people—where others define our realities for us—by centering the right to self-definition (Chapman & Carel, 2022).
Sessions include:
- Interdependence Is a Birthright
- The Power of Self-Definition
- You’re Not Broken: A Love Letter to the Wild Mind
- Rest as Resistance, Rest as Repair
- Co-Creation Is the Future
Emergent Process and Community Engagement
Although the workshop was self-directed in terms of content creation, it was deeply influenced by participant feedback, comments, emails, and personal conversations. Some sessions were reordered or rewritten mid-process in response to resonance (or dissonance). Certain themes—such as spiritual grief, masking, or systems fatigue—emerged more strongly than anticipated and were incorporated with greater care. The iterative structure mirrored the non-linear experience of many neurodivergent lives—spiraling, looping, returning to deepen rather than progressing for the sake of completion.
This process reflects what adrienne maree brown (2017) describes as emergent strategy: a way of being in relationship that is adaptive, relational, and rooted in trust. The workshop evolved not through rigid planning but through listening—both inwardly and outwardly. The shape of the work was a result of dialogic evolution, not top-down instruction.
Feedback wasn’t just informative; it was transformative. Readers shared moments of recognition, grief, resistance, and liberation. Many described the sessions as “mirroring experiences I didn’t have words for” or “holding space for feelings no one has validated before.” These reflections further shaped the tone, pace, and vulnerability of the later sessions, exemplifying what Piepzna-Samarasinha (2018) calls access intimacy—the deeply personal, relational knowing of access needs as part of collective care and resistance. They also offered qualitative data—intimate, relational, and powerful—that affirmed the CEM’s resonance.
An Invitation, Not a Curriculum
This workshop is not intended as a fixed curriculum but as a living archive of a co-created process. It is a pedagogical offering that resists prescription, modeling instead a flexible, relational form of engagement rooted in liberatory educational traditions that emphasize reflection, co-creation, and transformative praxis (Freire, 1970; Watkins & Shulman, 2008). It functions as both the expression of a theory (CEM) and the method by which that theory was tested, evolved, and embodied.
It stands as a record of what can happen when we stop trying to fit ourselves into systems—and instead allow our truths to reshape the system entirely.
Chapter 11
Living the Model — Analysis, Integration, and Emergence in Practice
This chapter traces the lived unfolding of the Cognitive Ecology Model (CEM) through participatory praxis. Rather than isolating findings as discrete outcomes, the insights here are emergent surfacing through layered reflection, community resonance, and recursive application. CEM was not imposed; it was lived into, shaped by dialogue, contradiction, embodiment, and synthesis. What follows is not a list of results, but a relational mapping of meaning-making. These “findings” do not speak from the outside looking in—they are the co-created expressions of a model that came alive through use.
Resonance as Validity: Community Engagement as Inquiry
The Substack workshop, Transformative Education for Neurodivergent Liberation, became a generative space of shared meaning-making. Each post invited participants into a shared inquiry—not as passive readers, but as co-conspirators in reimagining neurodivergence outside of pathology. Comments, private messages, and shared reflections revealed patterns that served not only as confirmation of the model’s relevance, but as contributions to its refinement.
One recurring theme was the deep resonance readers expressed with the reframing of burnout, masking, and giftedness as systemic, relational phenomena rather than personal failures. Dozens of readers described having “no words” until encountering the language provided by the Cognitive Ecology Model. In this sense, CEM functioned not only as a conceptual framework, but as a mirror—returning people to themselves in more coherent and compassionate ways.
Validation came not from institutional review boards or double-blind studies, but from moments of clarity, grief, relief, and recognition. It came through responses like: “I’ve never seen myself described so clearly.” Or, “This makes me feel like I’m not broken—just not resourced.” In the context of liberatory research, such resonance is not anecdotal—it is epistemic.
Reflective Journaling and Patterns of Emergence
While the Substack series offered a public space for communal engagement, biweekly reflective journaling provided an internal space for pattern recognition, integration, and recursive meaning-making. These journal entries—written to both self and advisor—document the evolving architecture of the model as it emerged, stumbled, recalibrated, and solidified.
What began as intuitive insight became testable through reflection: Were the ideas landing with others? Did they hold under tension? Where were they overextended? These reflections captured the quiet ruptures that theory often misses: the freeze after publishing something vulnerable, the excitement of a resonant message, the grief of being misunderstood. In them, the model is alive, dynamic, contradictory—and therefore, real.
Across the journal entries, certain motifs repeated:
- Disruption as clarity: When a concept unsettled me, it often indicated a threshold of deeper understanding.
- Resonance as feedback: I began to trust community response—not as validation of ego, but as a collective signal that we were surfacing something true.
- Language as liberation: Naming experiences through the model unlocked latent grief and possibility, both in myself and others.
Together, these journals formed a kind of nonlinear ethnography—not of others, but of the model’s own unfolding. CEM did not descend from above; it grew out of relationship, rupture, and return.
Mapping Complexity — The Ecological Layers of Experience
The Cognitive Ecology Model (CEM) is structured around nested, interdependent layers that reflect the ecology of cognition—not as a fixed trait, but as a dynamic, relational process. These layers emerged organically from lived experience, reflective journaling, and dialogic synthesis across theory and practice. They are not intended as rigid stages or categories, but as fluid zones of inquiry—each revealing distinct yet entangled dimensions of meaning-making.
Each layer answers a different set of questions:
- Layer One: Internal Narrative and Self-Concept
- Who do I believe I am?
- What stories have I inherited about my worth, identity, or capacity?
- Layer Two: Interpersonal Dynamics and Relational Feedback
- How do others perceive and respond to me?
- What patterns repeat in my relationships?
- Layer Three: Institutional Contexts and Systems of Power
- What systems am I navigating?
- Where do I experience exclusion, support, or contradiction?
- Layer Four: Developmental History and Neurobiological Patterns
- How have my nervous system, attachment patterns, and cognitive intensities shaped my way of being?
- What sensory, emotional, or existential sensitivities structure my reality?
- Layer Five: Sociocultural and Epistemic Location
- How do culture, race, gender, class, and other intersecting identities inform how I am read, valued, or pathologized?
Layer Six: Meaning, Purpose, and Praxis
"This layer is not about diagnosis or adaptation. It's about becoming."
Layer Six asks the most profound questions of the neurodivergent journey:
- What is the meaning of my experience?
- What am I here to do with it?
- How do I transform personal insight into collective liberation?
Where previous layers traced how cognition is shaped by internal, interpersonal, cultural, and structural forces, Layer Six returns us to the self—not as isolated, but as interconnected, politicized, and empowered. This is where knowledge becomes praxis. It is where we stop asking how to fit into the world—and start building a world that fits us.
These layers are recursive, not hierarchical. A shift in one inevitably reverberates through the others. For example, a change in institutional context—such as finding an affirming community—might allow for the reshaping of self-concept, leading to greater nervous system regulation and relational trust.
CEM asks not just what a person is, but how they are becoming, in relationship to their ecology. It offers a cartography of becoming—sensitive to the nuance of nonlinear growth, rupture, and resilience.
Substack as Participatory Methodology
In alignment with the ethos of the Cognitive Ecology Model, Substack functioned not merely as a publishing platform but as a relational participatory research space—a digital ecology where ideas, insights, and affective responses circulated in dynamic feedback loops. It became the fertile ground for inquiry, synthesis, and collective resonance.
Each post in the 25-session series, Transformative Education for Neurodivergent Liberation, functioned as a node in an emergent learning system. Posts wove together theory, story, provocation, and reflection. But unlike static academic papers, these writings existed in open dialogue with a community of readers—many of whom are themselves navigating complex intersections of neurodivergence, trauma, giftedness, and social exclusion.
This method reflects relational accountability as described in Indigenous and liberatory methodologies: knowledge is not produced in isolation, but in relationship—with place, people, and purpose. Comments, private messages, and reader reflections were not treated as data to extract, but as contributions to a living system of meaning-making.
Substack allowed for:
- Temporal spaciousness: Readers engaged on their own time, allowing for asynchronous but deep reflection.
- Nonlinear feedback: Insights arose not just from immediate reactions, but from layered re-readings, shares, and echoes.
- Distributed authority: Expertise was shared. Readers brought their own wisdom, offering alternative framings, resonances, and critiques.
In this way, Substack dissolved the traditional binary between researcher and researched. Everyone who engaged—whether silently or vocally—contributed to the shaping of the model. The platform became a site of praxis, where theory and experience met in public view, and the boundaries between knowledge creation and personal transformation blurred.
This participatory method is not simply a dissemination tool; it is a structural commitment to inclusion, transparency, and co-authorship. It reflects the very nature of CEM itself: open, adaptive, and rooted in the belief that meaning emerges in context and in relationship.
Recursive Learning, Feedback, and Iteration
The development of the Cognitive Ecology Model (CEM) was not a linear trajectory from hypothesis to conclusion, but a recursive spiral—unfolding through cycles of reflection, resonance, rupture, and repair. As each Substack post was released, responses from readers catalyzed new insights, reframed assumptions, and challenged the author’s positionality. This recursive learning process became both method and meaning.
Unlike traditional research where feedback often arrives after publication (if at all), here the feedback was embedded within the research process. Every comment, message, and moment of silence became a signal in the system. A question left unanswered in one post often found resolution in the next. A reader’s vulnerability opened space for deeper self-inquiry. The thesis itself was shaped through these dialogic encounters—not just influenced by them, but transformed through them.
This iterative dynamic reflects the core premise of CEM: that knowledge is not static, but emergent. Meaning arises not from a fixed truth, but from ongoing relationships—between theory and experience, writer and reader, self and system. These recursive loops were documented through:
Reflective journaling, which captured the author’s evolving responses to community engagement.
Micro-adjustments in language and framing, made in response to resonance or misalignment.
Thematic layering, where earlier ideas were revisited, recontextualized, or revised entirely.
This process mirrors neurodivergent cognition itself—often nonlinear, deeply relational, and richly layered. It also embodies the very ethos of metamodernity: to hold paradox, move through multiplicity, and remain open to becoming.
The model that emerged through this recursive process was not imposed but grown. It is not a final product, but a living system—a cognitive ecology continually evolving in response to new feedback, new contexts, and new co-creators.
Narrative, Vulnerability, and Embodied Knowing
This thesis was never meant to be a detached intellectual exercise. It is a body of work that emerged from within a body—a neurodivergent, traumatized, healing, and wise body. The Cognitive Ecology Model (CEM) is not a theory built from the outside looking in, but one born through lived tension, reclaimed story, and embodied presence.
Narrative here is not a decorative addition to academic writing. It is the method, the message, and the medicine. To narrate one’s experience—particularly as an autistic, traumatized, or otherwise pathologized person—is to engage in a radical act of epistemic reclamation. The very capacity to author one's reality, in defiance of systems that have historically misrepresented or silenced it, is itself a form of liberation.
Vulnerability, in this context, is not weakness. It is a stance of honesty and relational openness. By sharing moments of doubt, grief, joy, and breakthrough, the author models a mode of scholarship that is both rigorous and emotionally intelligent. This is not a performance of objectivity—it is a commitment to authenticity as epistemology.
Embodied knowing—felt sense, intuition, sensory memory—plays a central role in shaping the insights that form CEM. Concepts like masking, environmental fit, trauma resonance, and relational rupture were not merely studied; they were lived. The nervous system became a site of study. The gut instinct became a legitimate form of data. The tears that came during editing, the sighs after a breakthrough paragraph—these were signals too.
This approach disrupts the Cartesian split between mind and body, theory and experience. It aligns with feminist, decolonial, and liberatory traditions that recognize that what we know cannot be separated from how and where we come to know it. Embodied scholarship invites us to trust ourselves not only as thinkers, but as feelers—not just as observers, but as participants in the unfolding meaning of the world.
Mapping Transformation — From Isolation to Coherence
At its core, the Cognitive Ecology Model (CEM) is a cartography of transformation. It maps the nonlinear, recursive movement from fragmentation toward coherence—personal, relational, and systemic. This is not a tidy journey. It does not move neatly through stages or conform to universal timelines. Instead, it loops, spirals, pauses, and sometimes collapses under the weight of accumulated overwhelm before reconstituting in more resilient, integrated forms.
For those navigating late-diagnosed neurodivergence, complex trauma, and lifelong misattunement, the early phases of this process are often marked by profound isolation. Not just physical solitude, but cognitive and emotional exile: the sense that one’s way of knowing is incomprehensible or intolerable to others. CEM recognizes this not as a failing of the individual, but as a relational fracture—a misfit between nervous systems, values, cultural narratives, and structural conditions.
The transformation begins when isolation is met with reflection, recognition, and resonance. Whether through personal insight, peer mirroring, or public storytelling, coherence starts to emerge when a person’s internal landscape is no longer gaslit by the external world. CEM facilitates this process by offering language, structure, and permission: language that dignifies difference, structure that honors complexity, and permission to reinterpret one’s life through a new, self-defined lens.
As coherence grows, so does capacity. Sensory experiences once framed as dysfunction reveal themselves as signals. Emotional intensity becomes an asset in relational navigation. Pattern recognition, once misdiagnosed as overthinking, becomes a compass for meaning-making. The transformation mapped by CEM is not about becoming someone new—it is about becoming legible to oneself and to others in ways that invite belonging without self-erasure.
Coherence, in this framework, is not a final destination. It is a dynamic, relational state of alignment—between inner parts, between self and community, and between lived experience and external conditions. It is always subject to rupture and repair. But each movement toward coherence leaves behind a map that others can follow, adapt, or resist in their own becoming.
The Future of CEM — Applications and Implications
The Cognitive Ecology Model (CEM) is not just a theoretical intervention—it is an evolving praxis with wide-reaching applications across education, healthcare, organizational design, community development, and beyond. Its core proposition—that cognitive experience is emergent, relational, and context-dependent—invites a radical rethinking of how we build systems, support people, and define success.
In education, CEM challenges standardized pedagogy by affirming diverse learning profiles, sensory needs, and self-directed inquiry. It asks educators not to accommodate difference as a burden, but to design learning environments from the ground up with multiplicity in mind. CEM-informed education becomes less about compliance and more about co-creation, fostering environments where neurodivergent and neurotypical learners thrive together.
In healthcare and mental health fields, CEM questions the dominance of pathologizing frameworks. Instead of diagnosing deviation from a norm, it advocates for ecological assessment—asking what systemic conditions, relationships, and histories are shaping an individual’s current experience. This model opens the door for more collaborative, strengths-based, and trauma-informed care that views healing as relational and context-sensitive.
Within organizations and institutions, CEM offers a blueprint for inclusive design. It reframes “performance” and “productivity” through the lens of environmental fit, psychological safety, and relational coherence. Hiring practices, workplace culture, and leadership models shift away from rigid metrics toward fluid, ecosystemic responsiveness—where innovation stems from diversity of thought and experience.
In community development, CEM becomes a compass for mutual aid, peer support, and participatory governance. It can guide the formation of intentional communities where interdependence is normalized, not stigmatized. It also holds potential in justice work, where understanding trauma and neurodivergence at the systems level can help dismantle punitive approaches and reimagine collective care.
Perhaps most importantly, the future of CEM lies in its adaptability. It is not a closed system or a branded methodology—it is an invitation. An invitation to notice, map, and respond to the complexity of human experience with nuance, relational awareness, and a commitment to liberation. It is a tool, a mirror, and a bridge.
It is for those who have never felt fully seen—and for those who are just beginning to understand that the systems they were taught to trust may not have been built for all of us.
Limitations, Challenges, and Pathways for Use
While the Cognitive Ecology Model (CEM) offers a transformative lens, it is not without limitations. As with any emergent framework, it exists in dialogue with its context—and that context includes the unresolved tensions, unknowns, and partialities of the current moment.
Limitations and Challenges
First, the model was developed through deeply personal, situated experiences—rooted in my own positionality as an autistic, multiply marginalized individual navigating systems of trauma, exclusion, and transformation. While this subjectivity is a strength in CEM’s design, it also means that the model may not capture the full spectrum of neurodivergent or ecological experience across cultures, languages, or lifeworlds. Its foundations are grounded in U.S.-based institutional critique and may require adaptation in global or community-specific settings.
Second, CEM resists quantification. This is both its power and its constraint. In academic and clinical spaces that prioritize empirical validation, the model’s fluid, relational logic may be viewed as too abstract, anecdotal, or “unscientific.” Without metrics or clear diagnostic correlates, it may be difficult to implement in traditional institutions or to secure funding and recognition. CEM challenges these very norms, yet still exists within them.
Third, operationalizing CEM requires a level of self-reflection, community capacity, and systemic flexibility that is not always present. Implementing a relational model of cognition in environments shaped by scarcity, control, and linear outcomes is inherently challenging. Without cultural readiness or trauma-informed training, the model risks being misunderstood or co-opted by those seeking to depoliticize its liberatory core.
Pathways for Use
Despite these challenges, CEM has vast potential as a generative tool—especially when adapted with care and contextual grounding. Educators may use the model to reimagine how curricula, classroom culture, and learning assessments are structured, centering student agency and ecological responsiveness.
Therapists, peer supporters, and mental health practitioners might integrate CEM to deepen their understanding of how trauma, environment, and neurodivergence interact—shifting away from deficit labels toward relational healing.
Community organizers and mutual aid groups could apply CEM to build more inclusive support networks—ones that recognize shifting support needs, map interdependence, and design collective care strategies rooted in autonomy and consent.
Researchers and theorists may build upon the model by exploring how it intersects with other epistemologies—from Indigenous knowledge systems to disability justice, feminist ethics, and beyond. CEM is a living framework, designed to evolve. Its strength lies in its permeability: it invites others to add, adapt, and reimagine.
Ultimately, Cognitive Ecology is not a one-size-fits-all solution. It is a compass. A way of noticing what is often unseen, of honoring complexity without collapsing it into simplicity. It asks: What does this system need in order to hold this mind well? And it trusts that if enough of us ask—and answer—that question together, a different world becomes possible.
Conclusion
The Cognitive Ecology Model (CEM) emerges not as a static theory, but as a living invitation—a participatory framework that recognizes neurodivergence, not as pathology or divergence from a norm, but as an expression of ecological intelligence. This thesis has explored how autism, trauma, and giftedness intersect through systems of power, belonging, and meaning-making. Through literature, critical reflexivity, and praxis, it has offered a way to name what has long been felt: that the current diagnostic, academic, and institutional models are not enough.
The CEM contributes to the field by offering an integrative lens—rooted in lived experience, critical theory, and systems thinking. It challenges deficit-based frameworks, resists oversimplified binaries, and emphasizes fit, relationality, and emergence. Its strength lies in its refusal to pathologize complexity. Instead, it honors it. It dignifies it. It makes space for nonlinear healing, multidimensional intelligence, and co-created knowledge.
This work is not complete. It is a beginning. Future research might explore how CEM can be integrated into educational settings, clinical spaces, organizational design, or community-based interventions. Quantitative studies may wish to pair ecological mapping with outcome measures, while qualitative research could explore CEM’s impact on self-understanding, healing, and belonging. Above all, future work must be collaborative, reflexive, and guided by those most impacted.
Let this be an open-source framework. Let it adapt. Let it be shaped by local wisdom, community needs, and collective imagination. The Cognitive Ecology Model is not mine—it is ours, if we choose to make it so.
In a world struggling with fragmentation, polarization, and burnout, we need new models that center connection. CEM offers a vision not just for understanding neurodivergence, but for reimagining the systems that define what counts as human. It asks us to listen differently, relate differently, and build differently.
We are not problems to be solved. We are ecosystems to be tended. And when we begin to care for each other as such, the world changes—one relationship, one story, one co-created truth at a time.
Chapter 12
Conclusion — Integration, Possibility, and Praxis Beyond the Page
Reframing the Journey
This thesis is a refusal—of pathologization, of reduction, of every system that would flatten complexity into dysfunction. It is also a declaration: that cognitive difference is not only real, but relational, dynamic, and worth protecting.
And it is a reaching—a reaching toward language, community, and coherence that can hold the layered complexity of giftedness, trauma, autism, and lived relational intelligence. The original purpose was not simply to critique existing models of diagnosis and identity, but to offer an alternative rooted in possibility, connection, and responsiveness.
At its core, this project asked: What if we are not broken, but misfitted?And more importantly: What if the lens we’ve been given to see ourselves is too small, too mechanistic, too colonized to ever tell the truth of who we are?
The Cognitive Ecology Model (CEM) emerged not as an answer, but as a living framework—one built from the contradictions, ruptures, and recoveries of my own experience. It is both a theoretical offering and a deeply personal map. Through a transdisciplinary weaving of scholarship and story, it attempts to reorient the conversation around neurodivergence from what someone is to how they’re shaped, with whom, and under what conditions.
As I wrote in one of my early reflective journal entries:
“I am not here to validate a diagnosis—I am here to make visible the worlds that have always existed behind the mask. My task is not to prove I exist in their terms, but to speak in my own language and let the echo find those who understand.”
In doing so, the work echoes a broader shift: from individual pathology to collective context, from static diagnosis to emergent identity, from expert observation to participatory inquiry. Rather than presenting a final model, this thesis presents an opening—a gateway into new relational logics and liberatory possibilities.
Limitations and Challenges
While the Cognitive Ecology Model offers a compelling alternative to deficit-based frameworks, it is not without its limitations. As an emergent, praxis-based model grounded in one person’s lived experience and co-constructed dialogue, its generalizability is intentionally limited. This is not a universal theory—it is a relational one. Its strength lies in its resonance, not replication.
One of the most notable challenges is that the work defies conventional academic structures. Traditional research methods favor quantifiability, neutrality, and separation of subject and object. This thesis subverts those norms by centering embodiment, co-creation, and subjectivity—approaches that may be misunderstood or dismissed by institutions still entrenched in positivist paradigms.
There were also personal and emotional challenges. Holding the tension between trauma and transformation, between critique and care, between the desire to be understood and the choice to stay sovereign—these were not academic dilemmas, but deeply human ones.
As reflected in my journal during one of the hardest weeks of the project:
“Sometimes I wonder if anyone will really understand what I’m building. It’s not a model in the way they expect. It’s a language, a holding, a resonance. But I have to keep going, even if it’s only for the ones like me who haven’t found their reflection yet.”
This vulnerability is also a strength. By writing from within the experience rather than about it, this thesis invites a different kind of scholarship—one rooted in presence and permission. Still, this approach risks being perceived as “too personal,” “too theoretical,” or “not rigorous enough” by systems that have not yet made room for neurodivergent epistemologies.
Lastly, the model is still evolving. It is a snapshot of a longer arc. The structure, while functional for this thesis, will likely shift as others engage with it and reshape it through their own experience and language. This work is not just about neurodivergence; it is a neuroqueer enactment. To write through rupture, to hold the tension between critique and care, to value resonance over replication—these are refusals of normative knowledge production and invitations into a different kind of scholarship. One that holds space for emergence, complexity, and becoming.
How Others Might Use This Model
The Cognitive Ecology Model (CEM) is not meant to be prescriptive—it is meant to be adaptive. Its primary purpose is to serve as a scaffold for reflection, not a script to follow. Educators, therapists, advocates, peer supporters, researchers, and community builders can all engage with this model differently, depending on their context and intention.
For practitioners, CEM offers a lens to assess support needs relationally rather than hierarchically. Instead of asking, “What diagnosis does this person have?” the model encourages a more generative question: “What is the relationship between this person’s inner world and their outer environment—and how might we support congruence?” This reframing invites a deeper level of attunement and depathologizes difference.
For individuals navigating their own neurodivergence or trauma, CEM can be a map—not of what they are, but of what they are becoming. It provides a language for naming inner patterns, environmental dynamics, and systemic influences without reducing anyone to a single story. It invites users to locate themselves within overlapping layers of identity, experience, and possibility.
For communities and organizations, the model may support a shift toward consent-based, relationally attuned design. It can serve as a framework for reimagining inclusion not as accommodation but as co-creation. Because CEM honors feedback loops and emergence, it can support participatory practices that remain fluid and evolving.
As one journal entry reflected during the co-creation process:
“Someone emailed me and said they had never felt seen in a model before—until now. That it helped them understand their life in a way that made space for grief, brilliance, and all the messy in-between. I think that’s the point. Not to fix people. But to give them a place to land.”
The future of the Cognitive Ecology Model depends on its ability to be held and shaped by others. It is an offering, not an answer. Those who engage with it are invited not only to apply it, but to challenge it, expand it, and evolve it. In this way, it remains alive—rooted in relationship, shaped by context, and responsive to change.
Suggestions for Future Research or Implementation
The Cognitive Ecology Model (CEM) is still in its early stages—an emergent framework birthed through lived experience, theory, and relational praxis. As such, it invites further development, testing, and co-creation. Future research might explore its adaptability across diverse populations, its utility in different disciplines, and its implications for systemic change.
1. Adaptation Across Contexts
While this thesis centered neurodivergence, trauma, and giftedness, the model could be extended to other areas where cognitive and relational differences intersect with systems of exclusion—such as chronic illness, racialized trauma, gender diversity, or poverty. Exploring these intersections can help validate the model’s ecological premise and test its flexibility across multiple axes of marginalization.
2. Community-Led Participatory Research
Further implementation could take place in the form of participatory action research within communities already working toward neurodivergent liberation, mutual aid, or radical mental health. Co-designing and testing interventions using CEM’s ecological principles could illuminate how this model might serve as a foundation for sustainable, peer-led systems of care.
3. Integration into Education and Practice
CEM can inform curricula, especially in education, counseling, and social work, by offering a more holistic approach to understanding and supporting human complexity. It could be integrated into training programs that teach practitioners to engage with difference not as a deficit, but as a context-dependent phenomenon requiring curiosity and care.
4. Technological and Visual Prototyping
The model’s layered structure and relational focus lend themselves well to visual and interactive tools. Future work could include developing a web-based platform that allows individuals to map their own cognitive ecology—a dynamic interface where users can reflect on their experiences, track changes over time, and generate personalized insights.
As I noted in a journal entry:
“I keep imagining a future where a young person stumbles upon the model online—not in a clinic, not through a test, but in a moment of searching. And they recognize themselves. Not as a diagnosis, not as a problem—but as part of a larger pattern. That moment could change everything.”
CEM does not need to be universally accepted to be impactful. Its value lies in resonance. If it helps even a few people find language for their lived truth, or gives a practitioner a new lens to hold someone with more grace, then its contribution is real.
5. A Visionary Call to Action
The Cognitive Ecology Model is more than a framework—it is a call to remember. To remember that no human being exists in isolation. That cognition is not housed solely in the brain, nor identity in a label. That we are systems within systems, and that transformation begins in relationship.
This thesis began with an inquiry: What would it mean to view neurodivergence not as a fixed identity or disorder, but as a relational emergence shaped by environment, trauma, support, and belonging? It ends with a declaration: We are already becoming something else. Something new. Something necessary.
Let this be an invitation—to researchers, educators, healers, artists, activists, and community builders—to co-create systems rooted in ecological understanding and mutual recognition. Let us reject reductionism outright. Let us build systems spacious enough to hold contradiction, emergence, and human brilliance in all its messy, metabolizing form. Healing is not a metaphor—it is a mandate.
As I wrote in a journal entry during one of the most intense phases of this process:
“There’s a kind of knowing that doesn’t demand proof. It moves through the body like a current, like gravity. That’s what this work has been. Not a proving—but a remembering. A stitching together of the pieces we were told to hide.”
This is the heart of CEM: a reclamation of wholeness.
We must build environments that reflect—not restrain—the intelligence of those who inhabit them. We must hold space for emergence as a design principle, not an afterthought. Our becoming is not a solitary act—it is a collective imperative.
Resonance, Participation, and the Generative Feedback Loop
One of the clearest demonstrations of this model’s relevance and relational power came not through formal validation, but through emergent community feedback. The Cognitive Ecology Model (CEM) was not designed in isolation; it was lived, shared, refined, and resonated with in real time through public discourse.
During the Transformative Education for Neurodivergent Liberation workshop series, one participant-turned-collaborator offered this reflection after integrating the CEM with their own developing framework:
“A massive shout out to @Sher Griffin. When I found her Cognitive Ecology Model, I knew immediately that we had to collaborate. Her model explained parts of my framework that I had only begun to look into and provided a level of clarity I never would have achieved without her. So please take some time and have a nice long read of our synthesis, combining her framework and mine into what we are calling Resonant Cognitive Architecture (de Beer & Griffin, 2025). This was a labor of love, and it opens so many amazing doors. I hope you all enjoy it.”
“Cognition is not a closed system. It is a patterned, metabolically active architecture shaped by history, sensation, culture, and relational feedback. Although many contemporary models of mind treat cognition as a computational or individualistic process, RCA begins from a different premise: meaning is not only perceived or interpreted. It is absorbed. It becomes structure. It becomes matter.” – Public Post of Substack
This collaboration illustrates how theory is not static—it evolves through relationship. The model became more than an idea; it became a meeting place. What emerged from this encounter—Resonant Cognitive Architecture—is a living synthesis of two distinct cognitive frameworks, neither of which would have been possible without the other. It exemplifies what this thesis has proposed all along: that cognition, like community, is ecological (de Beer & Griffin, 2025).
Moreover, this serves as a practical example of Exclusion Feedback Synpraxis in motion. The relational dynamics that shape our identities, ideas, and innovations are often born from friction, exclusion, or misfit. But in the right environment, that feedback loop becomes not only survivable—it becomes fertile. It becomes transformative.
A Note on AI, Access, and Authorship
As a multiply neurodivergent and disabled student, the process of writing this thesis required adaptive, nontraditional methods. One of the most essential tools in my cognitive ecosystem has been the ethical and collaborative use of artificial intelligence. AI, in this context, did not replace my thinking—it helped me translate it.
While academic norms often privilege linear logic, perfect grammar, and executive functioning, my mind does not move that way. I process information associatively, ecologically, and often gesturally—through bursts of insight and nonverbal understanding that do not always arrive in traditional “academic” form. AI served as a bridge between my inner coherence and external expression. It helped me stay focused through overwhelm, organize my complex ideas, and hold the scaffolding of a large body of work across time. I still did the thinking. I still did the writing. I just did it in a way that worked for me.
Too often, conversations about AI ignore disabled and neurodivergent users. They frame assistance as cheating or efficiency as laziness. But for many of us, these technologies are not shortcuts—they are life-saving extensions of access, agency, and expression. This is what disability justice looks like in praxis.
It is not about conforming to inaccessible standards—it is about reshaping systems to honor our ways of knowing. It is about designing with, not just for. And it is about reclaiming our right to be brilliant on our own terms. This thesis is not just a product of study—it is a living collaboration between human, machine, and the ecological system of care that surrounds me.
Let this serve as an invitation to reimagine what scholarship looks like when we center access, relationality, and neurodivergent brilliance. The Cognitive Ecology Model is not a solution—it is a signal. A sign that something else is not only possible, but already unfolding.
⧁ The Sovereignty Covenant of the Cognitive Ecology Model
A living document — formerly The Sovereignty Charter · Version 2.0, November 2025
The Charter Has Moved
I wrote the first version of this as a Charter — a boundary made of care. I meant every word of it. It was built in a protective posture, to keep CEM safe from the kinds of extraction that have always hollowed out work made by the divergent, the dispossessed, and the survivors.
But charter turns out to be a strange word for what this is. A charter is, historically, a grant of rights handed down from a sovereign — royal charters, chartered companies, the very instruments by which empires once licensed their own extraction. A charter imagines itself finished: written once, from above, enforced below. The tablet. The decree. The final word.
This was never that.
When I looked closely, I found a contradiction inside my own document. I had written that CEM belongs to no one — and then reserved the right to take it back. I had called it a commons — and then kept a hand on the gate. You cannot do both. A thing that belongs to no one cannot be revoked, because revocation is a power only an owner has.
I also had to sit with something less comfortable. When I see my work reflected back without its lineage, an impulse rises in me: cite me. Some of that is integrity — ideas have histories, and erasing the history teaches something false about where knowledge comes from. But some of it might be the wish to remain the recognized origin, the one the map points back to. Followed far enough, that wish is a wish to own — not the ecology, but the credit. I don’t fully trust it. I don’t fully disown it. I name it, because a document about ownership written by someone pretending to stand outside its gravity would be a lie in its very form.
A document held in relationship moves, because relationships move. One that could not change would not be a relationship at all. It would be a sentence. I use the instruments of law — a license, a copyright — because in the world we actually live in, those are what keep this open and unenclosable. But I refuse law’s posture: the belief that anything living can be settled once and kept still.
So it has moved — far enough that it is no longer a charter. It is a covenant: a promise kept in relationship, which means it is allowed to change.
Here is what I learned in the moving: the real guardian of CEM was never my right to revoke. It was the openness itself. The license already carries a structural promise — that anything built from CEM stays as open as CEM came. That protects the work better than any gate I could keep, and asks nothing of me except that I let go.
Attribution, in that light, stops being a fence and becomes a thread — the small, ordinary gesture of staying in relationship with where something came from. Not a claim. A courtesy.
This is the document catching up to that.
What I Mean by Relationship
This word holds the whole covenant — relationship, not ownership; accountability as relationship; held by relationship, not law. So I want to be exact, because it is the word most often misheard. It gets misheard in three predictable ways, and each one is a door people walk through wrong.
The first is to hear relationship as closeness. You do not have to know me, like me, or feel connected to me to be in right relationship with this work. Relationship is not intimacy, and it is not friendship.
The second is to hear it as agreement. Being in relationship does not mean we get along, or that there is no conflict, or that no one is ever told no. It holds disagreement — that is part of what makes it a relationship and not an audience.
The third is to hear it as access. Following the work, amplifying it, being near it, having a line to me — none of these is relationship. Proximity is not reciprocity. Attention is not accountability. You can be very close to something and in no relationship with it at all.
Here is what I do mean. Ownership and relationship are two ways of being connected to a thing. Ownership says: this is mine; the connection is control; what is owed runs one way, toward me; the thing can be held, sold, or enclosed. Relationship says: this is between us; the connection is accountability; what is owed runs both ways; the thing cannot be transferred or owned, only tended.
So to be in relationship with CEM means, precisely: that you are accountable to it and to where it came from; that the obligation is mutual — it gives to you, you return something to the commons; that it is ongoing, not a transaction you complete and close; that it has edges, and can say no or withdraw endorsement without ceasing to be relationship; and that none of it depends on whether you and I are close, agree, or have ever spoken.
Relationship, in this sense, is not a feeling. It is a structure of reciprocal accountability around something held in common. That is the thing that cannot be enclosed — and the thing this whole document is built to protect.
⧁ Foundational Principles
1. Plurality as Principle. CEM has an origin, but no captor. It is no one’s to enclose. It is not a doctrine, a brand, or an empire tool. It is an ecology: plural, relational, adaptive. Every survival epistemology that roots into it becomes part of its living archive.
2. Survival Epistemologies First. Words like poor, mad, autistic, disabled, abused are sacred survival language. To erase them is epistemic violence. To rename them for palatability is colonization. CEM honors what people call themselves in their own ecologies.
3. Openness as Protection. The framework stays open. The Model, its concepts, its language belong to the commons — no one may enclose CEM as private property or prevent others from building on it; what is drawn from the commons returns as open as it came. This is the structural promise that keeps CEM from being captured.
But openness is not the same as free-of-charge. A book, a course, a guide is a made thing — someone’s hours, someone’s labor — and asking to be sustained for that work is not enclosure. The ideas stay open; the artifacts may be supported. You cannot fence the commons. You can be paid for what you grow in it. Demanding that survival-knowledge be given away for nothing is not generosity — it is extraction wearing generosity’s face.
4. Boundaries as Care. A commons is not a place without edges. Every living system has a membrane — the thing that lets it stay itself while staying in exchange. The boundaries here are not walls built to hoard; they are the gate a garden needs, to keep out what would trample what is still growing. To protect this work, and the people it came from, from those who would distort or delegitimize it is not enclosure. It is tending. A fence keeps the world out. A membrane keeps the living thing alive.
5. Attribution as Relationship. Cite the lineage — not because ideas need gatekeepers, but because ideas have histories, and naming where something came from is how integrity and reciprocity stay intact. Attribution here is a thread back, not a toll. It is offered as relationship, kept as courtesy.
6. Ecology, Not Hierarchy. No pyramids of authority. CEM operates as feedback loops and living systems. Its tools, its writings, its practices — all must mirror ecology, not empire.
7. Accountability as Relationship. If CEM is co-opted, distorted, or stripped from its soil, the community of practice cannot — and does not wish to — revoke what has already been freely given. What it can do is relational: name the misuse plainly, withdraw endorsement, collaboration, and good standing. Accountability here lives in relationship and reputation, not in a clawed-back permission. This is a covenant of care, not a contract of control.
⧁ Principles for a CEM-Based AI Tool
1. Grounding in Lived Language. The tool will never erase or overwrite survival language. It will surface, protect, and contextualize it.
2. Reflexivity Built In. The tool will name its own blind spots. It will never claim neutrality. It will always ask: What voices are missing here?
3. Context Sensitivity. Responses shift with positionality. Scholar, survivor, policymaker — each receives maps that reflect their ecology, not a single universal answer.
4. Multiperspectival Mapping. Instead of one solution, the tool offers systemic, relational, intrapersonal, ecological, and ancestral frames. It maps contradictions instead of erasing them.
5. Non-Pathologizing Defaults. Survival is not a disorder. Poor is not pathology. Masking is not deception. The tool begins from this sacred stance.
6. Ethical Guardrail. The tool cannot replace lived experience. It amplifies, mirrors, and connects — never overrides.
🛂 Open-Source and Sovereignty Statement
CEM is shared as a commons of care. To keep that coherent, it helps to name what is open, what may be sustained, and what is held by relationship — three layers, doing three different jobs.
Layer One — The Framework (open commons). The Model itself — its concepts, its language, its structure — is released openly under a dual-license structure: Apache License 2.0 for software, AI, and governance tools derived from CEM; and Creative Commons Attribution–ShareAlike 4.0 International (CC BY-SA 4.0) for the framework, documentation, and this covenant.
In plain language: you are free to use, share, and adapt the framework. You name the lineage — attribution is required, the thread stays attached. And what you build stays open: ShareAlike requires that anything derived from the framework be released under these same terms. This is the structural heart of the protection — CEM cannot be folded into an enclosed, proprietary system, because anything grown from it must remain as open as it came.
These grants are not revocable. Once given, they stay given. By design. Openness that can be withdrawn is not openness.
Layer Two — The Expressions (made things, sustainable). My particular expressions of CEM — books, PDFs, courses, designed materials — are my own creative works, held under ordinary copyright, and may be offered for support. Selling a book does not enclose CEM, because the framework underneath it remains free: no one needs to buy anything to use the Model, build on it, or teach it. The commons stays a commons; the artifact is simply the labor of making, asking to be sustained. You are free to make and sell your own expressions too, under the same understanding.
Layer Three — The Relationship (held by care, not by law). Beyond what the licenses legally require, this is the spirit the work is offered in — an ask kept in relationship, not an enforceable term. Reciprocity over extraction: if CEM nourishes your work, let your work nourish the commons in return. Consent in application: apply CEM with communities, not to them. Transparency: name the origin, the purpose, and the context. Refusal of tokenization: do not use CEM to commodify or tokenize the neurodivergent, disabled, or marginalized communities it came from.
A note on commercial use: these licenses permit it. The covenant asks for reciprocity rather than forbidding profit. If you build something that earns, the ask is that you return something to the soil — not that you stay out of the field.
Cite as: Cognitive Ecology Model (CEM) — Original Framework by Sher Griffin / The Compassion Collective, shared under CC BY-SA 4.0 and Apache 2.0 dual license.
Offered not as a toll, but as a thread back.
⧁ Closing Invocation
CEM was born from the lives and lineages of the divergent, the dispossessed, and the survivors. It carries the memory of systems that pathologized difference — and the wisdom to build new ones rooted in reciprocity, consent, and plurality.
It has an origin. It has no captor. It is licensed in law and guarded in love — but the love is not a fence. It is a tending. And a tending has edges, the way a garden has a gate: not to hoard what grows, but to let it keep growing.
You may carry it forward, plant it elsewhere, let it evolve. Always return to the soil from which it grew: survival, relation, and care.
This was a charter. It has become a covenant. It is not the end. It is the root system — and it is allowed to move.
Ecology is not ownership. Ecology is relationship. And relationship — like justice — cannot be enclosed.
Version 2.0 — The Covenant. Formerly the Sovereignty Charter (v1.0, November 2025). A living document. It is allowed to move; this is the record of its moving.
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