Explaining Intergovernmental Conflict in the COVID-19 Crisis: The United States, Canada, and Australia
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 The Covid-19 pandemic produced more significant immediate intergovernmental conflict in the U.S. than in Australia and Canada. This article considers three variables for this cross-national divergence: presidentialism versus parliamentarism; vertical party integration; and strength of intergovernmental arrangements. We find that the U.S. presidential system, contrary to parliamentarism in Canada and Australia, provided an opportunity for a populist outsider skeptical of experts to win the presidency and pursue a personalized style that favored intergovernmental conflict in times of crisis. Then, the intergovernmental conflict-inducing effect of the Trump presidency during the pandemic was compounded by the vertical integration of political parties, which provided incentives for the President to criticize Democratic governors and vice-versa. Third, the virtual absence of any structure for intergovernmental relations in the United States meant that, unlike Australian states and Canadian provinces, American states struggled to get the federal government’s attention and publicly deplored its lack of leadership.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.001 |
| 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 | 0.000 |
| 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