Bibliographic record
Abstract
Women report more psychological distress than men and recent evidence suggests that this gap increases with age. It has been argued that the widening differential in distress reflects the progressive and cumulative nature of women's disadvantaged work and family roles. Drawing on the cumulative disadvantage hypothesis and social stress theory, we test: (1) whether exposure to chronic stress accounts for an increasingly larger proportion of the gender effect on distress with age; and (2) whether women are increasingly more vulnerable to the effects of chronic stress on distress with age. Data are from the 1994 wave of the Canadian National Population Health Survey, a national probability sample of women and men aged 20 and older (N = 13,798). Exposure to long-term stress helps us understand gender differences in distress for those in their pre-retirement years. However, contrary to the cumulative disadvantage hypothesis, the model became increasingly less likely to explain such differences with age. Gendered vulnerability to long-term stress was not evident in the sample. The implications of these findings are discussed with particular reference to our ongoing efforts to understand health in the context of social structure and subjectivity.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".