Entre pédagogie et médiation : au coeur du partage des pratiques. Entretien avec Jérôme Thiébaux
Bibliographic record
Abstract
Dans cet entretien, Jérôme Thiébaux, professeur agrégé d’éducation musicale, revient sur son parcours et évoque les différentes expériences qui l’ont conduit à côtoyer, à appréhender, ou encore à pratiquer, la médiation. Il s’agit ici de saisir les diverses formes – mais aussi les différents noms – que revêt la médiation, tout en réfléchissant à ce qui fait sa spécificité. Les réflexions menées par Jérôme Thiébaux nous permettent alors d’envisager la posture adoptée par celle ou celui qui pratique la médiation dans différents domaines, tant dans celui des actions culturelles des orchestres que dans celui de l’enseignement. Son point de vue original nous conduit ainsi à comprendre les rapports qui lient médiation et pédagogie et à repenser les relations qui se nouent au sein de la salle de classe.
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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 | 0.006 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.042 |
| Scholarly communication | 0.012 | 0.011 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.005 | 0.012 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".