Priorities for global access to life-saving interventions during public health emergencies: Crisis nationalism, solidarity or charity?
Bibliographic record
Abstract
Access to COVID-19-vaccines by the global poor has unveiled the impact of global health and scientific inequities on access to life saving interventions during public health emergencies (PHE). Despite calls for global solidarity to ensure equitable global access to COVID-19 vaccines, wealthy countries both in the north and southern hemisphere may find a charity-based approach more appealing and are using the opportunity to forge neo-colonial cooperation ties with some African countries. Solidarity is undoubtedly an ideal equity-based principle of public health emergency of international concern (PHEIC). However, its application may be wanting especially as crisis nationalism is more likely to inform the public health policy of any country during a PHEIC, even when they are strong advocates of global solidarity. African countries, on the other hand, must re-appraise their heavy reliance on international aids during PHE and recognise the importance of boosting their epidemic preparedness including research and translation of its findings to practice.
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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 | 0.020 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.010 |
| Scholarly communication | 0.012 | 0.014 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.007 | 0.013 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".