Apprendre à différencier les pratiques d’enseignement au secondaire autour d’un objet transversal : la lecture
Bibliographic record
Abstract
Dans un contexte d’enseignement secondaire québécois où la diversité des élèves pose un nouveau défi, des enseignants se sont engagés dans une démarche de recherche-action-formation (RAF) pour apprendre à différencier leurs pratiques. La lecture étant une compétence mobilisée dans toutes les disciplines, les protagonistes s’entendent pour travailler autour de cet objet de savoir transversal. Le texte présente les résultats de la première année de ce projet. Ces derniers suggèrent que le modèle américain Reading Apprenticeship (Schoenbach, Greenleaf, Cziko et Hurwitz, 1999) facilite les expérimentations et une certaine distanciation des enseignants par rapport à une vision plus traditionnelle et transmissive de l’enseignement.
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.
How this classification was reachedexpand
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 | 0.002 | 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 | 0.005 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".