Global Governance After the COVID-19 Crisis
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
Assessment of the impact of COVID-19 on international institutions and international relations is essential for shaping global governance for the post COVID crisis world. The authors review the actions of the key international institutions in response to the pandemic undertaken in January-March 2020 reflecting on three questions. First, were the actions undertaken by the international institutions adequate, coordinated and timely? Second, could the outbreak have been contained if the global governance system was not in a state of severe strain, with many of the gaps exposed and reforms promised in the wake of the 2009 financial and economic crisis unfulfilled, its key causes unaddressed and unilateralism rising among its key members? In addition, was the COVID-19 crisis exacerbated by the crisis of multilateralism? Third, and most difficult, what is the future of global governance after the COVID-19 crisis ends? The analysis of international institutions performance three months into the crisis leads to authors to conclude that there have been inadequate actions to produce a timely, coordinated international response from all the major multilateral organizations and from the newer plurilateral summit institutions of the BRICS, G7 and G20. The failure of these global governance institutions was due not only to the severe strains from leading members’ unilateralism and competition, but from the very architecture designed in 1945 that now poorly matches intensely globalized world. Global governance in the post COVID world should not descend into the old war-prone balance of power, nor flow from a new Bretton Woods-San Francisco as in 1944–1945 but from an intensification and expansion of G20 governance that will generate and coordinate more comprehensive, stronger multilateral organizations for the benefit of all.
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 | 0.002 | 0.004 |
| 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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