Les travaux de Hammersley et l’éducation au Québec : science, preuve et politique
Bibliographic record
Abstract
En mettant l’accent sur les travaux réalisés au Québec par des chercheurs s’en inspirant, cet article explore les réflexions du sociologue de l’éducation Martyn Hammersley au sujet de la recherche en éducation et, plus particulièrement, des formes qu’elle prend dans le contexte des pratiques fondées sur les preuves. Cet article propose ainsi un bref survol des critiques et des recommandations qu’articule Hammersley au sujet de la recherche en éducation, de ses méthodologies et des pratiques fondées sur les preuves. Enfin, il envisage les perspectives pour le contexte québécois actuel des travaux de Hammersley, notamment dans le cadre de la création par le gouvernement du Québec de l’Institut national d’excellence en éducation (INEÉ) qui promeut l’idée de pratiques fondées sur les preuves ou les données probantes.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.021 | 0.020 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.011 | 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".