Gender Equality in the Division of Housework and Fertility Intentions in Canada: The Moderating Effect of Employment and Education
Bibliographic record
Abstract
Drawing on the Gender Revolution Framework, this research uses data from Canada General Social Survey and binary logistic regression to examine how the gender division of housework influences fertility intentions among partnered women aged 18–39 ( N = 1589), across various employment and education levels. Unadjusted results showed that women who shared household routine tasks (cooking, cleaning, dishes, and laundry) and intermittent tasks (grocery shopping, organizing social life, finance, and bill paying) with their partner had higher intentions to have children. The adjusted findings revealed that women’s employment status moderated the relationship between gender division of household routine tasks and fertility intentions, while education had no significant moderating effect. Employed women who did not share equally household routine tasks with their spouse had a lower probability of intention to have children (0.22), compared to their unemployed counterparts (0.48). The findings have significant implications for social and family policies that are discussed in detail.
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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 | 0.000 |
| 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 | 0.000 |
| 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".