Appropriation de connaissances et de pratiques par des enseignants dans un projet de recherche en lecture-écriture
Bibliographic record
Abstract
en lecture-criture Formation et profession 30(3) 2022 sum L' enseignement de la lecture et de l' criture de textes informatifs s'avre complexe au primaire, en raison d'un manque de connaissances sur les caractristiques de ces textes et sur leur didactique. Une recherche-action-formation a t ralise avec 11 enseignants (4e la 6e anne) afin de soutenir leur appropriation de savoirs et de pratiques lis ce genre de texte. Des donnes venant d' entretiens individuels mettent en lumire les savoirs spcifiques sur ces textes, de mme que les nouvelles pratiques d' enseignement et d'articulation lecture-criture dveloppes pendant le projet. Cet article apporte un clairage sur les conditions permettant le dveloppement professionnel en didactique du franais.
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 | 0.027 | 0.003 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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; a candidate call from one teacher head, 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".