L’application de la Charte de la langue française à l’enseignement collégial : étude de la validité d’une idée de réforme latente à la lumière de développements récents en droits de la personne
Bibliographic record
Abstract
Périodiquement, l’idée d’appliquer à l’enseignement collégial les dispositions de la Charte de la langue française refait surface dans l’actualité québécoise. À chaque occasion, des experts de différentes disciplines se prononcent sur son opportunité. Le présent article se veut une contribution au débat en approfondissant plusieurs des questions juridiques pertinentes qu’il suscite. Après avoir circonscrit le débat en illustrant les changements législatifs qu’un tel projet commanderait, les auteurs constatent, à la lumière de récents développements en matière de droit de la personne, qu’il serait vraisemblablement conforme au droit constitutionnel canadien.
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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 | 0.017 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.011 | 0.026 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".