Transformer l’exposé oral classiqueen exposé oral enregistré au primaire :quelles modalités de travail de l’enseignant etquels effets pour les élèves ?
Bibliographic record
Abstract
Transformer l'expos oral classique en expos oral enregistr au primaire : quelles modalits de travail de l'enseignant et quels effets pour les lves ? Formation et profession 28(4 hors-srie), 2020 sum Dans le contexte de la pandmie, les enseignants ont t amens, de manire rapide et, souvent, sans formation, utiliser les outils numriques pour pouvoir garder le contact avec leurs lves. Nous avons explor cette situation relativement l' enseignement de l' oral au primaire en suivant un enseignant du primaire et ses lves de 10-11 ans dans le cadre de l' expos oral. Les deux entretiens raliss auprs de l' enseignant et les deux questionnaires soumis aux lves ont permis de mettre en vidence les avantages et les limites du dispositif hybride propos : l' expos oral enregistr, distance.
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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 | 0.007 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 0.003 |
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".