Building a community for queer disability studies: lessons from the snail = Création d’une communauté réunissant les études queer sur le handicap : leçons tirées de l’escargot
Bibliographic record
Abstract
This article describes the Queer Disability Studies Network, a space set up for Queer Disability Studies academics and activists to find solidarity, particularly those experiencing marginalisation due to queerphobia, transphobia, intersexphobia and ableism in Disability, Queer, Trans and Intersex Studies; and for ideas in these disciplines to inform one another. The network was established to oppose the institutionalisation of ideas that would delegitimise trans lives and identities within academia and provides a space of solidarity and resistance within the neoliberal-ableist university. The article provides an explanation of the origins of the network. From this it uses the network’s snail motif to organise learnings from Trans, Queer, Intersex and Disability Studies into a set of ‘lessons’ for groups seeking to develop solidarities within academic and activist communities. These lessons raise critical questions related to concepts of 1) home, 2) temporalities and mobilities, and 3) embodiments and vulnerabilities. We conclude by discussing the implications of these lessons for practising solidarities and coalitional politics in contested times.
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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 | 0.009 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.041 | 0.057 |
| Scholarly communication | 0.013 | 0.015 |
| Open science | 0.002 | 0.019 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.012 | 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".