Education and the division of household labor in dual-earner families
Bibliographic record
Abstract
This article is the first report of a study on policies and the division of paid and unpaidwork in families in Finland. The article examines the division ofhousehold labor and itsdeterminants in Finnish dual-eamer families. The main objective is to examine whethereducation has any impact on the division ofunpaid work and men's participation in itcontrolling fr other variables. It was found, that among women, rising educationallevels, non-traditional attitudes and younger age cohort had a negative impact on timespent on housework, while among men only reduced time in employment and nontraditionalattitudes increased the contribution at home. While both men and womenwith higher education and non-traditional attitudes were more likely to perceive theirrelative division as more equal, an analysis of the absolute number of hours spent onhousework seems to support the notion that more equal distribution of tasks at home ismore or less a result of younger and educated women doing less housework. The datacomes from a survey conducted in 1998, in which 2,500 Finnish men and women werequestioned about time use, employment, attitudes about gender roles, work and family,andreconciliation ofwork and family. The Finnish study is part ofa Europeanresearchproject which studies the division oflabor in families in different cultural, political andsocietal settings.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 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".