Gender differences in socioeconomic inequalities in health : trends in Canada, 1994-2003
Bibliographic record
Abstract
Gender and socioeconomic inequalities in health are ubiquitous in developed countries; however, the modifying effect of gender on the relationship between socioeconomic position (SEP) and health over time is less clear. The potentially different health effects of changes in SEP on changes in health for working-age women and men are examined over a 10-year period. Three main questions are addressed: (1) are there gender differences in health over time, (2) do changes in SEP lead to health inequalities and (3) do changes in SEP impact health differently for women and men? Generalized estimating equations (GEE) were used to analyze the Canadian National Population Health Survey for four measures of health, number of chronic conditions, self-rated health, functional health, and psychological distress, and three measures of SEP, income, education and employment status. Men and women in this nationally-representative sample of Canadians do not differentially embody changes in SEP, though both gender and SEP independently impact health.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".