L’enseignement de la grammaire et de l’écriture au secondaire québécois: principaux résultats d’une recherche descriptive
Bibliographic record
Abstract
Pour combler le manque de données sur l’enseignement du français au secondaire québécois, la recherche ÉLEF (État des lieux de l’enseignement du français au secondaire québécois) a procédé à une enquête par questionnaires auprès d’un échantillon d’enseignants de français et d’élèves de 4e et de 5e secondaire ainsi qu’à l’analyse de dix séquences de cinq à huit cours de français. Les chercheuses ont constaté, d’une part, que le portait dressé ressemble à celui brossé par la recherche menée par le Conseil de la langue française en 1985 et, d’autre part, que ni les prescriptions des programmes d’études ni les recherches en didactique du français ne semblent avoir beaucoup influencé les pratiques enseignantes observées.
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 | 0.009 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".