An exploration of gender differences in the relationship between work family conflict and gambling problems
Bibliographic record
Abstract
The current study is an examination of gender differences in the experience of problems as a result of gambling. Using the framework of work--family conflict, this study compares men and women in terms of how their participation in work and family life relates to gambling problems as measured by the Problem Gambling Severity Index. Data from the 2008 Canadian Community Health Survey, a large representative sample of 28, 687 participants in three Canadian provinces, is analysed with generalized linear modeling. The findings of this study show that simultaneously occupying the roles of married spouse and working spouse is associated with more gambling-related problems for women, but fewer for men. The study concludes with a discussion of how the intersection of problem gambling and important aspects of social life presents different problems for men and women due to gendered expectations surrounding work and family life. Implications for the findings in relation to trends of increased use of electronic gaming machines by gambling providers are also discussed.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".