Le débat américain sur la certification des enseignants et le piège d’une politique éducative « evidence-based »
Bibliographic record
Abstract
Une démarche de type « evidence-based policy » implique que soient mis en place des dispositifs de compilation de la recherche existante, un concept et des indicateurs de qualité de la recherche, et une compréhension ou une interprétation de ce que la recherche « dit » ou ne « dit pas ». Dans le cas des sciences humaines et sociales, cela est loin d’être évident, non seulement à cause des médiations idéologiques, mais aussi à cause de la difficulté des consensus sur des indicateurs de qualité de la recherche et du caractère incertain et incomplet du savoir des sciences sociales. Le présent article analyse le vif débat, présentement en cours aux États-Unis, à propos de la certification des enseignants du primaire et du secondaire.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".