Why Disability Studies Scholars Must Challenge Transmisogyny and Transphobia
Bibliographic record
Abstract
We argue the need for coalition between trans and disability studies and activism, and that Disability Studies gives us the tools for this task. Our argument rests upon six facets. First and foremost, we explicitly acknowledge the existence of trans disabled people, arguing that Disability Studies must recognise the diversity of disabled people’s lives. Second, we consider how the homogenisation of womanhood, too often employed in transmisogonist arguments particularly when coming from those claiming to be feminists, harm both non-disabled trans women and cis disabled women. This leads to our third point, that Feminist Disability studies must be anti-reductive, exploring how gendered experiences rest upon other social positions (disability, queerness, race etc.) Fourth, we reflect upon the ways in which Disability Studies and feminism share a struggle for bodily autonomy, and that this should include trans people’s bodily autonomy. Finally, we argue that Trans and Disability Studies and activism share complex and critical relationships with medicine, making Disability and Trans Studies useful allies in the fight for better universal health care. We conclude by calling for our colleagues in Disability Studies to challenge transmisogony and transphobia and that transphobia is not compatible with Disability Studies perspectives.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.037 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.018 | 0.142 |
| Scholarly communication | 0.018 | 0.026 |
| Open science | 0.004 | 0.020 |
| Research integrity | 0.012 | 0.018 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".