The Link between National Paid Leave Policy and Work–Family Conflict among Married Working Parents
Bibliographic record
Abstract
We investigated relationships between four dimensions of work–family conflict (time‐ and strain‐based work interference with family, time‐ and strain‐based family interference with work) and three key national paid leave policies (paid parental leave, paid sick leave, paid annual leave) among a sample of 643 working married parents with children under the age of 5 across 12 industrialised nations. Results provided some evidence that paid sick leave has a small but significant negative relationship with work–family conflict. Little evidence was revealed of a link between paid parental leave or of a link between paid annual leave and work–family conflict. Family‐supportive organisational perceptions and family‐supportive supervision were tested as moderators with some evidence to suggest that paid leave policies are most beneficial when employees' perceptions of support are higher than when they are lower. Family‐supportive organisational perceptions and family‐supportive supervision were both associated with less work–family conflict, providing evidence of their potential benefit across national contexts.
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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 | 0.004 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".