Un dispositif didactique pour favoriser l’appropriation de la littérature. Mise à l’essai d’activités de lecture-écriture au Québec et en France
Bibliographic record
Abstract
Dans cet article, nous présentons un dispositif didactique fondé sur la lecture et l’écriture subjectives dans des classes de français au cégep (Québec) et au lycée (France) dans le but de favoriser l’appropriation littéraire des élèves. Les activités novatrices que nous avons tenues dans ces deux types de classes ont permis d’observer et d’analyser les textes littéraires produits par les élèves. Notre recherche permet de mieux cerner la subjectivité des élèves et de proposer des situations d’enseignement pour les utiliser en classe. En outre, notre recherche met en évidence le phénomène d’appropriation qui est déterminant pour le processus d’apprentissage en classe de littérature.
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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 | 0.009 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.017 | 0.022 |
| Scholarly communication | 0.014 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.014 | 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".