L'influence du capital social sur la santé: Une étude empirique du cas canadien
Bibliographic record
Abstract
Cette thèse s'intéresse à l'impact du capital social sur la santé des Canadiens. Elle vise à vérifier si la santé est influencée par une multitude de déterminants sociaux, dont le capital social. Pour ce faire, elle se base sur une méthodologie quantitative qui utilise des données individuelles tirées de l'Enquête nationale sur la santé de la population de 1996--1997, comprenant un échantillon de 82 000 répondants. Dans cette recherche, la santé est mesurée à partir de l'auto-évaluation de l'état de santé des gens. Le capital social est mesuré à partir de l'indice de soutien social perçu. En conclusion, cette thèse permet d'observer un lien entre le capital social, mesure à partir du soutien social, et la perception de la santé, bien que celui-ci soit plutôt faible. Elle permet également de voir que les déterminants sociaux de la santé agissent de façon plurivoque et reliée sur la santé.
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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 | 0.006 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 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".