Gender Differences in Distress: The Mediating Influence of Life Stressors and Psychological Resources
Bibliographic record
Abstract
Using the data from Canadian National Population Health Survey (NPHS), Cycle 1, this research explore gender differences in distress and the mediating influence of life stressors (i.e., chronic stress, work stress, negative life events, and childhood and adulthood trauma), and psychological resources (self-esteem, mastery, and sense of coherence). The findings from t-test analyses indicated that females reported more psychological distress, chronic stress, work stress, negative life events, and childhood and adulthood trauma, compared to males. However, in terms of psychological resources, male participants reported having more self-esteem, mastery, and sense of coherence. Results from regression analyses showed that life stressors and psychological resources are mediating factors influencing gender differences in distress, controlling for other socio-demographic and psychological variables.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".