Negotiating psychiatric cisgenderism-ableism in the transgender- autism nexus
Bibliographic record
Abstract
Most of the literature on autism and gender is rooted in a medical deficiency model. This study aimed to critically examine the discursive position of mainstream clinicians-researchers and to explore how their position affects, and may be affected by, autistic transgender individuals. We analyzed nine psychiatric case studies depicting autistic transgender individuals, and five texts written by transgender Aspie (i.e. having Asperger’s syndrome) individuals in online blogs and forums. The critical discourse analysis revealed that within the case studies’ cisgenderist-ableist lens, co-occurring autism and transgender were considered co-morbidities. Aspie transgender individuals reported difficulties in receiving social recognition of their gender. We discussed their ambivalence toward the cisgenderist-ableist discourse in light of recent cultural negotiations over the normativity of transgenderism and autism which start broadening the intelligibility of neuroqueer positions.
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".