La pénurie des enseignants au Québec : vers des changements de politiques
Bibliographic record
Abstract
Au Québec, les politiques ministérielles ont été assouplies pour soutenir la professionnalisation et la certification professionnelle des enseignants sans brevet. Ces changements visaient à favoriser l’accessibilité à la formation de ces personnes qui bénéficient d’une tolérance de recrutement. Parmi les différents enjeux, la méconnaissance de la reconnaissance des acquis et des compétences extrascolaires limite les admissions en contexte universitaire et nuit à l’optimisation du parcours, pour les personnes en situation d’emploi qui doivent conjuguer travail, études et responsabilités familiales. Une « matrice virtuelle » a été créée pour soutenir le développement d’un portfolio utilisable pour la reconnaissance des acquis et des compétences et en phase avec les compétences requises pour enseigner.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 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".