Primary school reopenings and parental work
Bibliographic record
Abstract
In this paper, we exploit the geographical pattern of primary school reopenings during the COVID-19 pandemic in Canada to estimate the impact of school reopenings on parental employment and work hours. We use a triple-difference approach, in which we first compare parents of primary-school children in regions where schools reopened to similar parents in regions where schools remained closed and add parents of older, secondary-school children as an additional control group. We estimate the impact of school reopenings separately for mothers and fathers, and for single parents and parents living in dual-parent households. We find a positive impact of school reopenings on employment and on actual hours worked. The effects tend to be stronger for single mothers, but are also present for mothers and fathers in dual-parent households in the spring of 2020. Overall, single mothers experienced an 18 percentage point increase in their employment at work rate following school reopenings. We also split our sample according to whether the job can be done from home, and find stronger impacts for those whose jobs cannot easily be done from home.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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 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".