Quelle politique pour répondre aux discriminations à l'université ?
Bibliographic record
Abstract
La formule “équité diversité inclusion” (EDI) semble s’imposer comme nouvelle norme institutionnelle, venue à la fois d’Amérique du Nord et du monde de l’entreprise, en réponse à la demande sociale d’en finir avec les inégalités et la discrimination. Les universités, et en particulier l’UCLouvain, l’adoptent (après bien d’autres au Canada, en France, etc.). Certes, la formulation bienveillante et positive de l’EDI – pour la diversité et l’inclusion plutôt que contre la discrimination – vise à rassembler sans effrayer. Mais elle peut aussi faire écran à la nature des problèmes, ancrés dans des rapports de domination et d’oppression inscrits dans les structures et l’histoire des institutions universitaires, et plus largement de nos sociétés.
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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 | 0.007 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.008 | 0.018 |
| Scholarly communication | 0.013 | 0.015 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.021 | 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 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".