Attitudes about paid parental leave: Cross-national comparisons and the significance of gendered expectations, family strains, and extant leave offerings
Bibliographic record
Abstract
Using data on paid parental leave preferences from 35,488 adults situated within 26 different OECD countries, and multilevel modeling, this study examines public opinions about the provision of paid parental leave, some government funding of leave offerings, and preferred lengths of leave offerings. We consider how attitudes may be similar or different across social contexts and then focus upon the extent to which gender, gendered parenting role attitudes, family strains, and country-level institutionalized leave offerings are associated with leave preferences. The findings indicate that the vast majority of respondents are in favor of rather widespread and generous paid parental leave offerings; indeed, there are generally high levels of support for paid leave availability, relatively long paid leave offerings, and government funding of leaves. Gendered expectations and family strains are consistently associated with individuals’ leave preferences—even after accounting for country-level social contexts. Country-level offerings are also associated with leave preferences—yet, we find that the overwhelming majority of respondents express a desire for paid parental leave length offerings that are substantially different than the extant leave offerings in their country. Overall, this research complements previous work by newly documenting widespread public support for the provision of paid leave and some government funding of it. Also, it establishes that gendered expectations, family strains, and country-level practices are consistently associated with paid parental leave preferences in wealthy countries. Yet, substantial dissatisfaction with extant paid leave policies within countries seems to be commonplace.
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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 | 0.000 |
| 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 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".