Aut-ors of our Experience: Interrogating Intersections of Autistic Identity
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
Narratives of the Autistic experience are often told, interpreted, and assigned value by people who are not Autistic, allowing dominant cultural understandings of Autism to pervade without substantial inquiry. In academia, a space in which there is little room for Autistic people in the first place, the power of these dominant ideologies is used to minimize our voices, dismiss our concerns, and devalue our insights. Drawing from Spry’s definition of auto-ethnography and using the works of Derrida and Ronell as aesthetic inspiration, we share and interpret our lived experiences to reclaim our Autistic academic identity. We deliberately disrupt conventions of scholarly writing and storytelling to demonstrate that Autistic narratives should and do interrupt, challenge, or even completely undermine academic normativity. We deploy this cripping-up of our experiences to interrogate how Autistic identity is constructed and negotiated in academia. In doing so, we explore avenues to integrate and celebrate Autism in academic spaces so that scholarship in disability studies, critical autism studies, and gender studies can be enhanced.
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 | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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