Navigating multiple pandemics: A critical analysis of the impact of COVID-19 policy responses on gender-based violence services
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
COVID-19 illustrated what governments can do to mobilise against a global threat. Despite the strong governmental response to COVID-19 in Canada, another 'pandemic', gender-based violence (GBV), has been causing grave harm with generally insufficient policy responses. Using interpretive description methodology, 26 interviews were conducted with shelter staff and 5 focus groups with 24 executive directors (EDs) from GBV service organizations in Ontario, Canada. Five main themes were identified and explored, namely that: (1) there are in fact four pandemics at play; (2) the interplay of pandemics amplified existing systemic weaknesses; (3) the key role of informal partnerships and community support, (4) temporary changes in patterns of funding allocation; and (5) exhaustion as a consequence of addressing multiple and concurrent pandemics. Implications and recommendations for researchers, policy makers, and the GBV sector are discussed.
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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 | 0.001 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it