‘Coming out’ on the spectrum: autism, identity and disclosure
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Much has been written by queer theorists about the personal and political ramifications of being out of the closet, and connections with experiences of disclosure for those with ‘hidden’ health conditions have been made by researchers studying critical geographies of disabilities and chronic illness. To date, however, the impact of such issues for those on the autism spectrum (AS) has received comparatively little attention. Popular re-presentations of AS suggest disclosure is irrelevant for those assumed so obviously different and unlikely to pass as ‘normal.’ However, AS authors reveal a broad spectrum of experience indicating that concealment and disclosure are complex and selective strategies of information and identity management. Applying discourse analysis to AS autobiographies and personal narratives, this paper explores four sense-making discourse clusters, or repertoires, that emerge from the texts under study: a ‘keeping safe’ repertoire, which addresses protective strategies in disclosure and coming out; a ‘qualified deception’ repertoire, which relates to the complexities of non-disclosure; a ‘like/as resistance’ repertoire, which captures the tendency of AS authors to position their individual and collective experiences of coming out on the spectrum as analogous to the process of coming out for other marginalized groups, most notably gay and Deaf communities; and an ‘education’ repertoire, which contributes to the project of building a community to come out to. Each of these repertoires is situated within the broader literature in social and cultural geography and critical disability studies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it