Crisis and opportunity: the impacts of COVID-19 on water advocacy in Ontario, Canada
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
This article provides results from interviews and a focus group conducted at two different points in time in the first year of the COVID-19 pandemic, which explored impacts of the pandemic and adaptation among water advocacy organizations in southern Ontario, Canada. Our findings show that despite the destabilizing and sometimes devastating impact of COVID-19 on grassroots organizations and their programs, by disrupting business as usual the pandemic also created the conditions for experimentation, innovation, the establishment of new capacities and strategic foci. In this paper, we share descriptive narratives from water activists in our geographic area about how they adapted and innovated their work despite the challenges of the pandemic. Our findings illustrate and add nuance to themes emerging in the literature about the impacts of the pandemic on environmental advocacy groups and other nonprofit organizations, and generate new themes for further exploration.
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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 | 0.007 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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