Introduction au numéro thématique « La gestion de la classe et la didactique : intégration de deux dimensions dans une même profession »
Bibliographic record
Abstract
L’acte d’enseigner comporte deux dimensions centrales (Altet, 2002): la didactique et la gestion de la classe et celles-ci sont interreliées et interdépendantes au sein de la pratique de toute personne enseignante (Butlen, Charles-Pezard et Masselot, 2011, Dumouchel 2017). Des chercheuses et des chercheurs ont systématiquement étudié la nature du lien qui existe entre ces deux dimensions : l’influence de l’une sur l’autre, le positionnement de l’une par rapport à l’autre, leur interdépendance, etc. (Dumouchel, 2017; Deblois et Larivière, 2012; Butlen, Charles-Pezard et Masselot, 2011; Lanaris et Beaudoin, 2011; Marquet, 2005; Vanhulle, 1999; Freinet, 1939). En plus d’offrir une vision unificatrice de l’acte d’enseigner, les articles de ce numéro thématique permettent d’approfondir ce lien et de répertorier les avancées scientifiques et actuelles dans le domaine de la gestion de la classe.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.024 | 0.004 |
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".