La professionnalisation de l’enseignement primaire et secondaire, une comparaison entre la Belgique francophone et le Québec (1990-2010)
Bibliographic record
Abstract
L’article compare les politiques de professionnalisation des enseignants promues au Québec et en Communauté française de Belgique, en les resituant dans leur contexte socio-éducatif plus large et en tenant compte du positionnement des différents acteurs intervenant dans le champ scolaire. Au-delà de spécificités nationales importantes, plusieurs tendances communes sont observables. Dans les deux contextes, on observe notamment une politique de professionnalisation « par le haut » (portée par les élites du système éducatif), formulée dans des termes fonctionnalistes, qui met davantage l’accent sur la professionnalisation de la main d’œuvre que sur celle du lieu de travail et qui va de pair avec une réception ambivalente par les enseignants de la base.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".