Chabrol Claude & Radu Miruna. Psychologie de la communication et persuasion
Bibliographic record
Abstract
On peut penser qu'un ouvrage sur la psychologie de la communication et de la persuasion n'intresse les chercheurs en sciences de l'ducation et les pdagogues que de manire marginale. Il est certain que la plupart des exemples d'application cits dans cet ouvrage portent principalement sur les domaines de la publicit et de la communication persuasive. Mais il est galement certain que le chemin pour transfrer la plupart des thories prsentes et leur trouver des applications dans le champ de l'ducation estais. Que l'enseignement soit une situation de communication est une lapalissade, on pourrait presqu'en dire autant de la persuasion, au moins pour ce qui concerne la partie gestion de la classe et de la discipline. Prsenter cet ouvrage dans la Revue franaise de pdagogie nous a donc paru offrir une opportunit de prendre la mesure de l'apport thorique des courants prsents et de l'intrt qu'il pourrait y avoir (re)conduire un certain nombre des expriences dans une classe ou un groupe d'apprenants.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.029 | 0.009 |
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".