Effects of Work-Life Balance Policies on Female Commitment towards the Same Company
Bibliographic record
Abstract
This paper explores the relationship between work-life balance (WLB) policies and three indicators—job tenure, turnover rates, and new graduate retention rates in Japan—focusing on the careers of female employees. Cross-sectional analysis shows that firms with WLB policies, such as a full amount of maternity pay, are positively associated with female employee job tenure. Additionally, panel data analysis shows that the practices of family-care leave, family-care benefits, and flextime system, have an effect on the turnover rate of female employees. Moreover, the full amount of maternity pay has an effect on the retention rate of female new graduates. Finally, a first-differences analysis also finds a positive relationship between the maternity pay system and female job tenure. These results suggest that WLB policies, such as the full amount of maternity pay, family-care leave, family-care benefits, and flextime system, could produce positive outcomes for the careers of female employees.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Open science | 0.001 | 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".