Who’s Doing the Housework and Childcare in America Now? Differential Convergence in Twenty-First-Century Gender Gaps in Home Tasks
Why this work is in the frame
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Bibliographic record
Abstract
Gender scholars have debated whether the recent movement toward a more equal division of domestic labor is stalling. Using a differential convergence perspective, the authors argue that examining which domestic tasks undergo gender convergence, whose changes narrow the gap, and why changes happen is critical for understanding gender inequalities in unpaid labor time. Using data from the 2003-2023 American Time Use Survey, the authors examine trends in total housework (including core and occasional housework), shopping, and childcare time. Results for married individuals indicate that the historically large gender gap in total housework time narrowed further this century, from a women-to-men ratio of 1.8:1 in 2003-2005 to 1.6:1 in 2022-2023. This shrinking of the gender gap was concentrated in traditionally feminine core housework (decreasing by 40 percent, from 4.2:1 to 2.5:1), particularly housecleaning and laundry. The gender difference in shopping time also narrowed, nearing parity. For childcare time, the gender gap shrunk from 2:1 to 1.8:1, though this change was not statistically significant. Decomposition analyses indicate that women's reduced housework time was explained mainly by population compositional shifts, whereas men's increased core housework time likely reflected behavioral or normative changes. With men taking on more female-typed domestic activities, the gendered norms associated with different forms of unpaid labor may be becoming redefined.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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