Mieux comprendre les pratiques enseignantes en classe dans l’enseignement supérieur : proposition d’un cadre de référence
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Les pratiques enseignantes (PE) restent encore relativement peu étudiées dans la recherche sur l’enseignement supérieur (ES), surtout en ce qui concerne l’observation des pratiques. Cet article se propose de fournir un cadre de référence pour la conception d’un modèle théorique des PE en classe dans l’ES. Ce travail permettra d’explorer ultérieurement le rôle des PE dans la réussite des étudiants. Une analyse narrative a été menée sur deux modèles des PE de l’enseignement obligatoire, ayant de solides fondements théoriques et empiriques, afin de les transposer au contexte de l’ES. Les résultats ont permis d’identifier quatre catégories clefs des pratiques.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it