Socioeconomic Status and Body Mass Index in Canada: Exploring Measures and Mechanisms
Bibliographic record
Abstract
Nous examinons la relation entre le statut socio‐économique (SES), les caractéristiques socio‐économiques (SES), le style de vie (consommation de fruits et légumes, exercice physique, usage du tabac, et consommation d'alcool) et l'indice de masse corporelle (IMC) sur la base des données de l'Enquête sur la santé dans les collectivités canadiennes 2.1. Nous explorons deux différentes mesures socio‐économiques, éducation et revenu, afin d'élucider les explications matérielles et culturelles de la relation SES‐IMC. Les résultats varient de manière significative entre les genres, dégageant la complexité de la relation entre SES, les facteurs socio‐démographiques et de style de vie, et l'IMC. Nous suggérons que la masse corporelle demeure un symbole de statut qui diffère entre les genres, et que les facteurs culturaux et psycho‐sociaux sont peut‐être plus importants que les facteurs matériaux en perpétuant cette inégalité dans le domaine de 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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.017 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".