Repenser la didactique du français dans sa mission d'intégration en classe d'initiation (CLIN)
Bibliographic record
Abstract
La classe d'initiation a besoin de se doter d'une didactique en faveur des élèves dont les appartenances langagières sont multiples . Cet article se propose de redéfinir la spécificité de cette classe dont la vocation est de dispenser un enseignement du français dans la perspective d'une intégration scolaire. C'est en réinterrogeant les différentes didactiques constituées du français (FLM/FLS/FLE) que seront esquissées les limites d'une didactique composite pour ouvrir sur une piste transversale, fondée sur un courant de recherche canadien d'une part et sur la démarche d'observation réfléchie de la langue à l'école d'autre part, dans la perspective d'établir une didactique du français à l'école élémentaire qui soit cohérente par rapport aux objectifs définis dans les programmes.
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 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 | 0.008 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".