Women, weight, poverty and menopause: understanding health practices in a context of chronic disease prevention
Bibliographic record
Abstract
Socioeconomic inequalities in health persist despite major investments in illness prevention campaigns and universal healthcare systems. In this context, the increased risks of chronic diseases of specific sub-groups of vulnerable populations should be further investigated. The objective of this qualitative study is to examine the interaction between socioeconomic status (SES) and body weight in order to understand underprivileged women's increased vulnerability to chronic diseases after menopause. By drawing specifically on Pierre Bourdieu's sociocultural theory of practice, 20 semi-structured interviews were conducted from May to December of 2013 to investigate the health practices of clinically overweight, postmenopausal women living an underprivileged life in Canada. Findings emphasise that poor life conditions undermine personal investment in preventive health and weight loss, showing the importance for policy makers to bring stronger consideration on upstream determinants of health.
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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 | 0.009 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".