Le temps didactique dans trois classes de secondaire I (doubleurs, ordinaires, forts)
Bibliographic record
Abstract
Dans cet article, nous voulons décrire l’articulation des dynamiques temporelles de l’apprentissage et de l’enseignement propres à trois classes de mathématiques de première secondaire. Les données d’observation sur lesquelles repose cette description ont été recueillies auprès de trois classes relevant de la responsabilité d’un même enseignant; la première est une classe de doubleurs, la seconde est une classe d’élèves réguliers et la troisième une classe DÉFI (élèves « forts »). Sur la base d’une analyse d’une part, de l’organisation temporelle des leçons et, d’autre part, des interactions didactiques observées dans les classes, notre recherche permet de différencier la manière dont joue le temps didactique sur le fonctionnement des trois systèmes didactiques étudiés.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".