Comment évaluer les effets d'une approche pédagogique préconisant la psychopédagogie du bienêtre sur la réussite éducative d'élèves du primaire ?
Bibliographic record
Abstract
Cet article présente une recherche-action de trois ans menée avec 5 enseignantes d'une école primaire qui a permis l'émergence d'une communauté d’apprentissage préconisant la psychopédagogie du bienêtre. Ce nouveau champ en sciences de l’éducation permet d’intégrer des interventions pédagogiques bienveillantes en contexte scolaire. Un devis méthodologique mixte a permis de recueillir des données auprès des élèves et des enseignantes afin de mesurer les effets de ces interventions sur le bienêtre des élèves à l'école, leur capacité à nommer leurs forces et des moyens adéquats pour le ressentir, tout en établissant un lien avec la réussite éducative.
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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".