Bibliographic record
Abstract
Abstract This paper examines the role of home production in gender‐based responses of time use to the COVID‐19 pandemic. We develop a tractable model featuring time allocation choices and susceptible‐infected‐susceptible epidemiological dynamics. The model economy has two steady states, and an outbreak can trigger a transition from a disease‐free steady state to an epidemic steady state, accompanied by a shift in economic activity toward the home. Our parameterized model well reproduces pandemic‐driven variations in time allocation in the US. This stems largely from the combination of three key features of home production: the high substitutability between market goods and home goods, the asymmetric immunity of home production to the epidemic and the comparative advantage of women in household work. Our decomposition analysis finds that elevated home production accounts for a sizable share of changes in market work and its gender gap during the pandemic. Remote work limits fluctuations in time use but worsens gender inequality in market work.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".