Appréciations par les élèves de leur environnement socioéducatif et résultats aux épreuves externes communes en fin d’enseignement primaire : comparaison des établissements Freinet et traditionnels de l’enseignement communal liégeois
Bibliographic record
Abstract
La controverse sur les avantages de la pdagogie Freinet perdure depuis des dcennies tant pour les valeurs ajoutes apportes en matire d' environnement socioducatif qu' en ce qui concerne les comptences scolaires acquises. Notre tude mene dans l' enseignement communal de la ville de Lige (Belgique) o plus de 1500 lves sont inscrits dans des tablissements Freinet (14 % de la population scolaire) montre que, niveau socioconomique quivalent, les lves de 3e cycle des tablissements Freinet obtiennent des niveaux de rsultats aux preuves communes de franais, mathmatiques et veil similaires ceux des coles traditionnelles, mais s' en distinguent par leurs dclarations systmatiquement plus positives en ce qui concerne leur environnement socioducatif.
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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 | 0.005 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".