Les minorités francophones canadiennes face à l’immigration : particularismes et représentations de la diversité ethnoculturelle dans les milieux associatifs
Bibliographic record
Abstract
Dans cet article, nous documentons la manière dont, au sein des minorités francophones canadiennes, les discours identitaires produits par les militants du milieu associatif articulent la notion de « diversité culturelle » et l’immigration. À travers une comparaison entre l’Acadie du Nouveau-Brunswick, la francophonie ontarienne et la francophonie de Colombie-Britannique, nous faisons ressortir les convergences et les divergences quant aux types de critères mobilisés pour définir et légitimer l’appartenance à la francophonie locale. Nous analysons en particulier la place occupée par la diversité culturelle dans la formalisation de discours identitaires marqués tout à la fois par leur dimension ethniqueetcivique.
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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 | 0.002 |
| Science and technology studies | 0.016 | 0.011 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".