The emergence of post‐Westphalian health governance during the Covid‐19 pandemic: the European Health Union
Bibliographic record
Abstract
The response to the Covid-19 pandemic in 2020-21 was dominated by the Westphalian primacy of national territory and sovereignty, significantly worsening and prolonging this crisis. Global platforms for cross-border coordination and cooperation were constrained by national self-interest. Arguably, the lack of a worldwide supranational (or post-Westphalian) authority in health governance is one important structural reason for the fragmented, chaotic, and ineffective response to Covid-19. The failure of Westphalian governance responses to the pandemic provides a unique opportunity for post-Westphalian governance structures to be established and contribute to reforming international pandemic preparedness. While this is unlikely to happen soon at the global level, a comprehensive framework is emerging at the European Union level in the form of a European Health Union. Through a combined conceptualisation of supranational governance and the securitisation process of international health crises, Covid-19 has opened the door to post-Westphalian health governance coordinated by the European Commission.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.014 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".