Parental-leave rich and parental-leave poor: Inequality in Canadian labour market based leave policies
Bibliographic record
Abstract
Canada has two parental leave benefit programs for the care of a newborn or adopted child: a federal program, and, since 2006, a provincial program in Québec. Informed by a social reproduction framework, this article compares access to parental leave benefits between Québec and the rest of Canada by family income and by its two different programs. Our analysis of quantitative data reveals that maternal access to leave benefits has improved dramatically over the past decade in the province of Québec, especially for low-income households. By contrast, on average 38% of mothers in the rest of Canada are consistently excluded from maternity or parental benefits under the federal program. We argue that one key explanation for the gap in rates of access to benefits between the two programs and between families by income is difference in eligibility criteria. In Canada, parental leaves paid for by all employers and employees are unevenly supporting the social reproduction of higher earners. Our article draws attention to the need for greater public and scholarly scrutiny of social class inequality effects of parental leave policy.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".