Reconceptualizing Parental Leave Benefits in COVID-19 Canada: From Employment Policy to Care and Social Protection Policy
Bibliographic record
Abstract
Although the coronavirus disease 2019 (COVID-19) pandemic has spurred critical and much-needed attention to re-thinking policy approaches to child care and long-term elder care, little focus has been given to its implications for parental leave policies and parental benefits for the care of infants and young children. This article is about reconceptualizing and reconfiguring employment-based parental leave policies in Canada both during and after COVID-19. Informed by theoretical insights from the fields of care economies, feminist political economy, and care and social reproduction and by national and international parental leave research, we argue that it is time to reconceptualize parental leave benefits not only as employment policy but also as a care and social protection policy. To make this shift, we explore three topic areas: a mixed system of parental benefits that combine employment-based and citizenship-based entitlements, connections between policy design and gender equality, and the need for robust intersectional data to track which Canadian families are receiving parental benefits.
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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 | 0.014 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.020 | 0.010 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".