Stretching the public purse: budgetary responses to COVID-19 in Canada
Bibliographic record
Abstract
Purpose This paper summarizes the emergency measures taken by Canada in response to the COVID-19 pandemic, and discusses the key political, economic, and social factors that influenced the design of these measures. Design/methodology/approach This paper collects the announcement of emergency measures in the Canadian provincial and federal governments between March 18 and May 30, 2020 in response to the COVID-19 pandemic and categorizes them by type of emergency response. Findings Canada has a diversified response of emergency measures mediated by its various provinces. This suggests that Canada may be more robust to biological and economic threats than nations that have less policy diversity. Originality/value Canada's diversity of emergency measures allows for several different avenues for future research, including countercyclical spending by subnational polities, organizational diversity's effect on resilience, the effect of tax breaks versus direct or indirect payments, effectiveness of public-private partnerships, and the effect of transparency on citizen satisfaction.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".