Enseigner en classe multiâge : enquête sur les besoins de développement professionnel et d’accompagnement d’enseignants du primaire
Bibliographic record
Abstract
Resume - Ce texte presente les resultats d’une enquete menee aupres d’enseignants en classes multiâges. En reponse au besoin de developpement professionnel et d’accompagnement d’enseignants oeuvrant dans un tel type de classe, un questionnaire a d’abord permis de valider les besoins specifiques, pour ensuite elaborer et mettre a l’essai des strategies d’accompagnement adaptees au contexte concerne. Ces strategies s’inscrivent dans une perspective de developpement professionnel qui mise sur le partage d’expertise et l’engagement des acteurs. Les resultats apportent un eclairage sur les caracteristiques de l’enseignement en classe multiâge, les besoins specifiques et les inquietudes des enseignants, ainsi que sur le soutien souhaite.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; a candidate call from one teacher head, 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".