Les disparités géographiques de la mortalité dans le Montréal métropolitain, 1984-1988 : étude écologique des liens avec les conditions sociales, économiques et culturelles
Bibliographic record
Abstract
Malgré une baisse notable des indices de mortalité dans la région de Montréal, l'on retrouve toujours à la fin des années 1980 des disparités géographiques importantes. Un écart de plus de dix ans en espérance de vie est observé entre certains quartiers, et cet écart n'a pas diminué durant les dix dernières années. L'étude écologique des liens entre la mortalité et différentes caractéristiques de la population à partir des méthodes de la régression linéaire montre que la proportion de personnes pauvres et le pourcentage d'immigrants combinés expliqueraient ensemble plus de 80 % des variations géographiques de l'espérance de vie à Montréal.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".