Pre- and postpartum employment patterns: comparing leave policy reform in Canada and Switzerland
Bibliographic record
Abstract
In recent decades, many countries modified their maternity and parental leave programmes, changing elements such as length, wage replacement levels, and eligibility criteria. We employ sequence analysis of women and men’s employment trajectories in the two years before and after a birth to explore changes occurring alongside reforms that advanced different policies: a short, compulsory, and well-compensated maternity leave in Switzerland in 2005, and a long, voluntary, but less well-compensated parental leave in Canada in 2001. Our results show that employment patterns changed little after the reform in Switzerland. Most Swiss women remained in or switched to part-time employment in the period preceding childbirth. After the reform in Canada, mothers in the province of British Columbia—the context of our study—spent more time out of employment after the birth of a child. However, they were also more likely to return to work full time. In both contexts, the employment trajectories of men did not change. Together the results highlight that parents are not passive recipients of policy change; rather, reform may reinforce old patterns or generate change depending on the extent of change and the context where it takes place.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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 source (direct Gemma or distilled Codex), 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".