Les messages clairs au cycle 3, une aide pour la gestion des conflits entre pairs
Bibliographic record
Abstract
L’étude menée présente et analyse la mise en place du dispositif des messages clairs dans une classe de CM2. Appartenant à la pédagogie Freinet, les messages clairs visent la résolution des conflits par l’intermédiaire de la communication non-violente. En exprimant leurs émotions, les individus réussissent à trouver un accord. Développé dans un premier temps au Canada par D. Jasmin et introduit en France par S. Connac, les messages clairs se développent de plus en plus et sont aujourd’hui encouragés par le ministère de l'Éducation nationale à travers les programmes officiels. Ce mémoire de recherche relate le choix du dispositif, la description de celui-ci, ainsi qu’une analyse critique de cette pratique professionnel. Nous nous sommes interrogés sur la technique des messages clairs et nous avons porté notre attention sur les différents changements opérés sur le nombre de conflits et violences, sur le climat de classe ainsi que sur l’autonomie dans la gestion des conflits.
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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 | 0.005 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 0.004 |
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".