Democratic Accountability in Times of Crisis: Executive Power, Fiscal Policy and COVID-19
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
Abstract We examine the performance of four parliamentary democracies – Canada, Australia, New Zealand and the UK – as they confront the need for a substantial fiscal policy response to the COVID-19 pandemic. Our research covers the period 1 January 2020 to 30 June 2020. We score the four countries on nine components of democratic accountability using Mark Philp's distinction between formal and political accountability. We conclude, first, that to appreciate the nuanced character of accountability, it is important to have a set of operational measures that identify specific aspects of performance. Second, preparation is important for resilience: countries that demonstrated strong accountability before the pandemic maintained relatively high accountability standards during the crisis; weaker accountability mechanisms showed less resistance to the expanding power of the executive. Finally, it is easier to be accountable when outcomes are favourable, but favourable outcomes include adherence to the norms of democratic accountability.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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