Effects of the 2001 Extension of Paid Parental Leave Provisions on Birth Seasonality in Canada
Bibliographic record
Abstract
It is well known that there exists a strong seasonal pattern in births and that the pattern differs across geographic regions. While historically this seasonal pattern has been linked to exogenous factors, modern birth seasonality patterns can also be explained by purposive choice. If birth month of a child is at least partially chosen by the parents then, by extension, it can also be expected that this can be influenced by anything that changes the costs and benefits associated with that choice, including public policy. This paper explores the effect that the 2001 extension of paid parental leave benefits had on birth seasonality in Canada. Overall we find strong results that the pattern of birth seasonality in Canada changed after 2001, with a notable fall in spring births and an increase in late summer and early fall births. We discuss the potential effects of this unintended consequence, including those related to health and development, educational preparedness and outcomes, and econometric modelling.
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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 | 0.000 | 0.002 |
| 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 | 0.000 |
| 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".