European Men’s Use of Parental Leave and Their Involvement in Child Care and Housework
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Over the last ten years, equal opportunities policy has tended to actively further men’s use of parental leave to favour gender equality. This article draws from the European 2005 Working Conditions Survey, and more specifically the subsample of fathers with children under the age of three to analyse whether paternity leave is related to their greater involvement in childcare and housework. Zero-inflated Poisson regression analysis, controlling for working conditions, family circumstances, level of schooling, women’s empowerment in society and duration of leave, revealed a direct relationship between paternity leave taking in the year prior to the survey and their involvement in daily childcare and housework. Such use of parental leave appears, then, to be an effective mechanism for promoting greater gender equality in the domestic domain.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it