The Re-Emergence of Childcare as a Women’s Issue? Analyzing Gender in Australian and Canadian COVID-19 Childcare Policymaking
Bibliographic record
Abstract
Canada and Australia, two liberal welfare states whose market-based ECEC systems consistently rank poorly on international measures, embraced similar short-term childcare policy responses to the onset of the COVID-19 pandemic: widespread closures, reduced capacity of centers, establishment of publicly funded emergency childcare programs for essential workers, and short-term wage subsidies for essential workers (sometimes including educators). Rooted in a feminist political economy (FPE) theoretical framework and using a what-is-the-problem-represented-to-be (WPR) methodological approach, this article explores the extent to which the first and second “waves” of the COVID-19 pandemic policy responses in Canada and Australia framed childcare as a concern about gendered, reproductive labor within political representations of the policy problems to be solved.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".