How useful is the concept of polycrisis? Lessons from the Development of the Canada Emergency Response Benefit during the COVID-19 pandemic
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
The empirical basis for the concept of polycrisis has only been articulated at a high level of abstraction, typically dealing with global issues like climate change or migration. Because of that, its relevance and utility at the domestic level vis-à-vis adding value to existing studies of crisis management are unclear. As a set of events lasting over two years involving a pandemic with multiple simultaneous and interconnected economic and public health implications, the COVID-19 pandemic provides both scholars and practitioners with a rare opportunity to look in more detail into how domestic policy design actually occurred during this global event. In this article, we investigate the creation of the Canada Emergency Response Benefit (CERB) program during the COVID-19 crisis. The CERB case illustrates the importance of three factors that together form a trifecta of best practices for national-level policy design in a crisis—policy integration, learning, and agility—and shows how these elements evade capture by the polycrisis concept, thereby limiting its usefulness.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it