Autonomie culturelle, gouvernance et communautés francophones en situation minoritaire au canada
Bibliographic record
Abstract
Entre nation et ethnie, les communautés de langue officielle en situation minoritaire (CLOSM) au Canada sont souvent indécises face à leurs revendications identitaires. L’article propose le modèle d’autonomie culturelle pour situer les aspirations identitaires des CLOSM et les paramètres de leur vitalité. Nous faisons une analyse de deux des éléments de ce modèle – la mobilisation politique et les structures de gouvernance – en les appliquant à l’une des CLOSM : les communautés francophones et acadiennes (CFA). Il ressort de cette analyse que les modalités de gouvernance fondées sur un partenariat avec l’État ne semblent pas mobiliser les communautés et pourraient même freiner leur engagement dans une dynamique d’autonomie culturelle nécessaire à leur vitalité.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.006 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".