Construction individuelle, acculturation mathématique et communauté scolaire
Bibliographic record
Abstract
Nous distinguons d'abord l'approche traditionnelle en enseignement des mathématiques, typique des classes dont le fonctionnement s'appuie sur l'utilisation de manuels, et l'approche « investigative » mise en oeuvre dans des classes dont le fonctionnement est compatible avec la perspective constructiviste. Nous mettons ensuite l'accent sur cette approche « investigative » et analysons les tensions théoriques et pragmatiques qu'elle suscite en relation avec une conception de l'apprentissage des mathématiques conçu à la fois comme processus actif de construction individuelle et un processus d'acculturation. Une attention particulière est accordée aux façons dont le constructivisme et les théories socioculturelles abordent cet aspect. Nous traitons enfin du développement de certaines activités pédagogiques mises en oeuvre dans des classes de mathématiques à fonctionnement « investigatif ».
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.019 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".