Division of domestic work and psychological distress 1 year after childbirth: a comparison between France, Quebec and Italy
Bibliographic record
Abstract
Abstract Background. The participation of men in domestic work should have a positive impact on the wellbeing and mental health of women who are mothers of young children. However, cultural factors, which largely determine the expectations and desires of men and women, are likely to modify this impact. The purpose of this study was to explore differences between countries in the division of child care and housework between couples 1 year after childbirth, and to look at possible differences in the relationship between this division and the psychological health of new mothers. Methods. Similar studies were carried out in three countries: France, Italy and Canada (province of Quebec), making it possible to compare the situation of 1598 women. Results. The results revealed major differences between countries in the division of domestic work. For nearly all the child care and housework tasks studied, answers indicating an unequal division were more frequent in Italy than in France, and more frequent in France than in Quebec. Despite these differences, we found very similar pattern of associations, in the three countries, between the division of domestic work and the mental health of women. An unequal division of child care was linked with psychological distress, but this association was not found for the division of housework. Conclusion. These results raise questions concerning the mechanisms by which the division of domestic work affects the psychological health of new mothers. Copyright © 2002 John Wiley & Sons, Ltd.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".