Concevoir des communautés de lecteurs : la gestion de la classe dans une didactique interactionniste
Bibliographic record
Abstract
Cet article s'intéresse de façon exploratoire à l'articulation entre la gestion de la classe et l'apprentissage de la compréhension en lecture dès lors qu'on s'inscrit dans une perspective interactionniste, la classe étant conçue en tant que communauté d'apprenants. Nos recherches s'appuient sur des évaluations externes qui révèlent des difficultés des élèves en lecture pour construire des dispositifs intitulés « Cercles de lecture » stimulant dès l'école primaire l'interprétation fine des textes. Leur faisabilité est étroitement liée à des aspects de gestion de la classe. Nous envisageons cette question à partir d'expériences menées avec des enseignants en place et en formation initiale.
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 | 0.028 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".