COVID-19 and the Trials and Tribulations of Global Health Governance
Bibliographic record
Abstract
The Covid-19 pandemic has brought to the fore significant shortcomings in global health governance. Faced with the rapid international spread of the virus, international actors unsuccessfully attempted a coordinated international response to tackle the Covid-19 outbreak and its far-reaching repercussions. The present article aims to shed light on certain flaws in the existing global health governance architecture that have thwarted both formal—the World Health Organization and the United Nations—and informal international actors—the Group of Seven and the Group of Twenty—in steering the international community through the current global health crisis. It first examines the actions taken by these actors during the Covid-19 pandemic and assesses why they fell short in steering a coordinated international response. Having identified individual states as the real culprits for the inadequate performance, the article discerns the underlying causes of individual states’ hindering of global health multilateralism. Subsequently, it underscores why global health multilateralism remains necessary in a post-Covid-19 world and which international actors should play an active role therein. To conclude, suggestions are given on how the global health governance architecture should be strengthened in a post-Covid-19 world.
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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 | 0.011 | 0.044 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".