Précarité des populations francophones âgées vivant en situation linguistique minoritaire
Bibliographic record
Abstract
Le vieillissement des populations s’est considérablement accentué ces dernières décennies et ce plus particulièrement pour la population francophone vivant en situation linguistique minoritaire au Canada. Nos analyses secondaires de l’Enquête sur la santé des collectivités canadiennes (ESCC) révèlent qu’une grande proportion d’aînés francophones n’a pas de diplôme d’études secondaires et se situe dans le quintile de revenu le plus faible. Des analyses multidimensionnelles des données montrent que les déterminants de la pauvreté tels que le revenu et l’éducation exercent une influence sur la pauvreté des personnes âgées, mais que la langue et l’appartenance à la minorité francophone y contribuent de façon spécifique, ce qui constitue une donnée nouvelle.
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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 | 0.005 | 0.030 |
| 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 | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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; both teacher heads agree on what is shown here.
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".