L’efficacité en éducation : regard croisé sur une certaine idée de l’efficacité
Bibliographic record
Abstract
L'efficacité en éducation : regard croisé sur une certaine idée de l'efficacité Formation et profession 32(3) 2024 • ésumé Cet article porte un regard croisé sur une certaine idée de l' efficacité en éducation véhiculée par les protagonistes tous azimuts des réformes éducatives.Notre réflexion s'inscrit dans le contexte de l'adoption du projet de loi 23, celui-ci posant les fondements à la création d'un Institut national d' excellence en éducation au Québec.Nous abordons le thème de l' efficacité en éducation en nous appuyant sur des textes fondateurs provenant des domaines de l' éducation, de la sociologie et de l' économie.Nous concluons qu'une certaine conception de l' efficacité en éducation sert de vecteur d'ancrage d'un économisme mondialisé au détriment d'une finalité émancipatrice de l' éducation.
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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 | 0.025 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.006 | 0.034 |
| Scholarly communication | 0.018 | 0.013 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.010 | 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".