Gender and policy response to COVID-19 in Canada and Scotland
Bibliographic record
Abstract
Overcoming pandemics call for immediate and dedicated public health policy solutions. This study analyzes the public health policies introduced in the province of Ontario in Canada, and the country of Scotland in the United Kingdom, in a bid to address the COVID-19 pandemic. We focus on regional policy design by the key health policy decision makers and examine the influence of gender in the solutions introduced by these policy leaders. Drawing from the concept of feminist sociological institutionalism, we argue that that the solutions directed at curbing COVID-19, which was led by a female health minister in Ontario, and a female health secretary in Scotland, did not conform to gendered expectations. While the gendering of institutions is often streamlined to achieve gender equality and consider female issues, the study shows that undivided attention was dedicated to curbing COVID-19, without opportunistic interference and taking advantage of a political window.
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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 | 0.007 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.026 | 0.017 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| 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".