Vers un partenariat pour la création de milieux scolaires favorisant, durablement et de façon efficiente, la socialisation et le bien-être psychologique des élèves et du personnel
Bibliographic record
Abstract
Cet article décrit un projet de recherche collaborative, entre praticiens-partenaires et chercheurs, portant sur un modèle d’accompagnement et de formation des intervenants scolaires, visant une mise en oeuvre optimale et durable de programmes et d’interventions fondées sur des données probantes concernant le développement de la socialisation des élèves (prévention de la violence) ainsi que leur bien-être psychologique. La conceptualisation et l’expérimentation de ce modèle reposeront sur une structure et un fonctionnement partenarial mobilisant pas moins de 11 organisations représentant divers partenaires du milieu scolaire, qui travailleront avec plus de 18 chercheurs et 10 collaborateurs sur une période de trois ans.
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 | 0.033 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.006 |
| 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".