Les retombées d’un accompagnement en Communication NonViolente (CNV) sur le développement des compétences socioémotionnelles du personnel scolaire d’une école primaire
Bibliographic record
Abstract
Cet article présente les retombées de l'accompagnement en Communication NonViolente sur le développement des compétences socioémotionnelles du personnel scolaire d'une école primaire. Il montre d’abord les orientations d’un projet pilote visant des interventions bienveillantes envers soi et envers les autres. Il définit ensuite les compétences socioémotionnelles du Collaborative for academic, social, and emotional learning (CASEL, 2017) et l'approche de la Communication NonViolente de Rosenberg (2016). Des résultats exemplifient les apprentissages réalisés par les personnes participantes. Enfin, les apports et les limites du projet sont exposés, et quelques recommandations pour soutenir l'intégration de cette approche auprès d’autres écoles sont formulées.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| 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".