Recherches sur la transitude au Québec : entre absence et exploitation des savoirs trans
Bibliographic record
Abstract
En suivant l’approche méthodologique de l’autoethnographie, cet article se penche sur la question de l’exploitation des personnes trans en tant que travailleur·se·s précaires de l’université néolibérale. On met en relief la double dynamique d’effacement et d’exploitation des personnes trans « en tant que trans », en soulignant qu’au sein du biocapitalisme, la transitude produit de la valeur qui peut être extraite afin de donner un nouveau souffle aux processus d’accumulation de la richesse. Les conditions de travail des personnes trans dans le domaine de la recherche sont ainsi surdéterminées par ces nouveaux mécanismes d’extractivisme. En guise de conclusion, on partage certaines stratégies de résistance pour renverser cette double dynamique.
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".