De la recherche en lecture-écriture à la pratique
Bibliographic record
Abstract
Les enseignants éprouvent le besoin d’obtenir des outils issus des travaux des chercheurs, directement applicables en classe, particulièrement en didactique de la lecture-écriture. Ainsi, la diffusion des résultats de recherche interroge le rôle de la formation continue dans l’appropriation de ces résultats.Cet ouvrage s’empare de cette problématique et expose des projets de recherche menés au Québec et en France. À partir d’une variété de moyens, notamment en créant du matériel pédagogique ou en engageant les enseignants dans une démarche de recherche, les auteurs témoignent de l’importance accordée à l’appropriation et à la diffusion de leurs résultats dans les milieux scolaires. Bien que ces dernières étapes complexifient parfois le travail des chercheurs, elles sont nécessaires pour développer et maintenir des relations entre la recherche et la pratique.
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 | 0.031 | 0.061 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.008 | 0.023 |
| Scholarly communication | 0.024 | 0.013 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.006 | 0.012 |
| Insufficient payload (model declined to judge) | 0.039 | 0.011 |
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".