How Do Family-Friendly Policies Impact Marital Satisfaction: A Mediation Analysis of Korean Working Women
Bibliographic record
Abstract
This study examines the relationship between family-friendly policies and marital satisfaction and whether couple bonding activities mediate this association. This study used data from the Korean Longitudinal Survey of Women & Families (KLoWF), a nationally representative study of Korean women, and estimated fixed-effects models examining whether family-friendly policies are associated with marital satisfaction. Sobel mediation analyses were conducted to investigate whether couple bonding activities mediate the association. Family-friendly workplace policies were positively associated with marital satisfaction (β = 0.531), after accounting for individual-level confounders. Family-friendly workplace policies were also associated with more engagement in cultural activities and physical activities with a partner (βs = 0.042 and 0.068, respectively). Mediation analyses showed that couple bonding activities explained 16.7% of the association between family-friendly workplace policies and marital satisfaction. Family-friendly policies may enhance the quality of working women’s marital life through an increase in engagement in couple bonding activities.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".