La politique québécoise d’évaluation des apprentissages et les pratiques évaluatives
Bibliographic record
Abstract
En 2003, le ministère de l’Éducation du Québec faisait paraître une politique sur l’évaluation des apprentissages en milieu scolaire. Il fallait alors tenir compte des approches pédagogiques qui sous-tendaient le nouveau curriculum (notamment le socioconstructivisme), du mode d’organisation en matière de compétences, de la réorganisation du cursus amenée par la notion de cycle et de la redéfinition des rôles des divers acteurs. Après plus de dix années marquées par de nombreux questionnements, certaines incohérences apparaissent entre les pratiques mises en place et les orientations de la politique. On observe que celle-ci s’est déployée avec l’appui de documents complémentaires et de modifications aux règlements qui en précisent et parfois en réduisent la portée.
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 | 0.025 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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; both teacher heads agree on what is shown here.
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".