La portée de la Commission de vérité et de réconciliation dans les contextes francophones canadiens
Bibliographic record
Abstract
Ce numéro spécial fait état de la portée des appels à l’action de la Commission de vérité et de réconciliation (CVR) du Canada dans les contextes francophones en éducation. Cette contribution présente des travaux de recherche émergents réalisés au Québec et en Ontario de même que des réflexions d’ordre théorique proposées par des chercheurs en contextes québécois, albertain et saskatchewanais. Ils portent sur les possibilités et les limites des appels à l’action de la CVR en contextes francophones, notamment quant aux enjeux en éducation d’autochtonisation, de réconciliation, de décolonisation, d’identités ainsi qu’à ceux relatifs aux politiques éducatives et de curriculum afin de mieux comprendre la position particulière des communautés francophones dans le projet de colonialisme de peuplement canadien.
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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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.021 | 0.021 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".