The Dark Side of Work-life Policies: Examining the Impact of Co-worker Childcare Policy Usage on Work Anxiety
Bibliographic record
Abstract
Work-life policies (WLPs) are tools employees may draw on to better manage and balance their work and life demands. While WLP research generally shows WLPs positively impact the individuals that use the policy, there is growing evidence to suggest that WLPs may also negatively impact other employees. Drawing from the theory of role dynamics and social role theory, we examine the indirect effect of co-worker childcare policy usage (CUCP) on work anxiety via work-role overload (WRO), as well as the impact of gender on this indirect relationship. Findings from a three-wave field study (n = 357) reveal: (1) CUCP positively relates to work anxiety via WRO for men, and (2) CUCP negatively relates to work anxiety via WRO for women. Theoretical and practical implications are discussed. Keywords: work-life policies; work-role overload; work anxiety; gender
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".