Les programmes d’études des femmes et l’intervention féministe en Ontario français
Bibliographic record
Abstract
Cet article a pour objectif d'examiner et de discuter deux difficultés soulevées par l'enseignement de l'intervention féministe auprès d'étudiantes inscrites au programme d'études des femmes au Collège universitaire de Glendon de l'Université York en Ontario. La première difficulté a trait à l'enseignement du mouvement des femmes lui-même, de l'espace social et du rapport à l'État. La seconde touche à l'interaction avec les femmes et à l'apprentissage de l'inclusion et de la diversité. À partir du cours «Études des groupes de femmes et du travail communautaire en Ontario français», l'auteure expose les résistances des étudiantes à l'apprentissage de ces problématiques, résistances qui sont autant de défis posés à l'ensemble des programmes d'études des femmes.
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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 | 0.005 | 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 | 0.010 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".