Enseigner la résolution de problèmes écrits de mathématiques au primaire : pratiques déclarées des enseignants des deuxième et troisième cycles
Bibliographic record
Abstract
Enseigner la rsolution de problmes crits de mathmatiques au primaire : pratiques dclares des enseignants des deuxime et troisime cycles Formation et profession 31(1) 2023 1 sum La nature des pratiques enseignantes au regard des mthodes de rsolution de problmes crits de mathmatiques, notamment le quoi (quelle mthode, ses avantages et ses inconvnients), le comment (les exigences d'utilisation envers les lves) et le pourquoi (les raisons de l'utilisation), reprsente un sujet trs peu document dans la littrature scientifique. Le prsent article vise exposer les principaux rsultats de la premire phase d'une programmation de recherche plus large dont l' objectif tait de dcrire les pratiques relatives aux mthodes de rsolution de problmes crits de mathmatiques prsentes par les enseignants des deuxime et troisime cycles du primaire.
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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 | 0.012 | 0.060 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.023 | 0.003 |
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".