Spouse’s Work-to-family Conflict, Family Stressors, and Mental Health among Dual-earner Mothers and Fathers
Bibliographic record
Abstract
We examine the association between perceptions of spouse’s work-to-family conflict, family stressors, and mental health outcomes using data from a sample of 1,348 dual-earning parents from a 2011 national survey of Canadian workers. Based on crossover stress theory and the stress process model, we hypothesize that perceptions of spouse’s work-to-family conflict are associated with family stressors, which mediate the association between perceptions of spouse’s work-to-family conflict and respondent’s mental health. Using ordinary least square regression techniques, we find that perceptions of spouse’s work-to-family conflict are associated with mental health outcomes as well as secondary family stressors. Furthermore, the family stressors resulting from perceptions of spouse’s work-to-family conflict facilitate family-to-work conflict among respondents, which further explains the association between perceptions of spouse’s work-to-family conflict and mental health outcomes. We discuss the implications of these findings for theories of crossover stress and the stress process model.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".