Composition sociale du public scolaire et différenciation des contenus enseignés. L’exemple de l’enseignement moral et civique à l’école élémentaire en France
Bibliographic record
Abstract
Centrée sur l’enseignement moral et civique (EMC) à l’école élémentaire en France, notre recherche s’efforce d’analyser les relations pouvant exister entre la composition sociale interne du public scolaire et la nature des savoirs transmis. Cent-vingt entretiens ont été menés en vue de recueillir des récits de pratique retraçant les actions réalisées dans le cadre de l’EMC. Les catégories socioprofessionnelles des parents ont été relevées pour caractériser la composition sociale de chaque école. L’étude montre que les enseignants mettent principalement l’accent sur des actions destinées à parfaire la socialisation des élèves en particulier dans les écoles qui scolarisent des élèves de milieux très défavorisés.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".