L’education a la tolerance dans les programmes d’etudes en vigueur au Quebec
Bibliographic record
Abstract
Le contexte social actuel caractérisé par un pluralisme culturel grandissant interpelle directement l’école comme lieu de socialisation et nous renvoie nécessairement à la place de la tolérance dans notre accueil de la diversité. Or, est-ce que la tolérance fait partie des intentions éducatives du Québec? Où en retrouve-t-on des traces? Notre objectif est de relever et d’analyser les différents éléments présents à l’intérieur des programmes de formation québécois qui ouvrent la voie à l’éducation à la tolérance, en nous attardant de façon toute particulière sur le nouveau programme d’Éthique et culture religieuse, qui nous apparaît en être le principal véhicule. The current social context characterized by a growing cultural pluralism calls out directly to the school as a site of socialization and necessarily reminds us of the place of tolerance in our reception of diversity. Now does tolerance form part of Quebec goals for education? Where it is in evidence? Our objective is to point out and analyse different elements that are found in teacher education programs in Quebec that can open the way for education for tolerance by considering in particular the new program of ethics and religious culture that appears to be the main vehicle for introducing it.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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".