Entre unité et diversité, la «citoyenneté multiculturelle» comme esquisse d’un nouveau visage pour le Canada
Bibliographic record
Abstract
Le Canada semble prendre un nouveau tournant, très probablement décisif, dans la gestion de la diversité. Dans ce contexte, jusqu’à quel point peut-on dire qu’une nouvelle identité canadienne se crée progressivement ? Ce tournant modifie-t-il la conception initiale du multiculturalisme ? Ce dernier, clé de voûte de l’identité politico-économique du Canada, apparaît comme un outil gouvernemental permettant au pays de modeler un nouveau visage canadien au plan social également. Cette démarche aboutit à une nouvelle approche de l’identité, notamment des minorités culturelles mais aussi de la société dans son ensemble. Mais au-delà de la volonté gouvernementale, l’application de la loi, la conception de l’unité, l’acceptation de la diversité et ce que le gouvernement nomme la «citoyenneté multiculturelle » soulèvent encore de nombreuses questions sur le terrain.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".