Bibliographic record
Abstract
While rich countries like the USA and UK are starting to vaccinate their populations against COVID-19, poor countries may lack access to a vaccine for years. A global effort to provide vaccines through the COVAX facility (the vaccines pillar of the Access to COVID-19 Tools (ACT) Accelerator) aims to distribute 2 billion vaccinations by the end of next year, but the USA has refused to join and even those rich countries that have joined are entering into bilateral deals with pharmaceutical companies to buy up the supply. Canada, for instance, has already secured enough to vaccinate its entire population nine times over, and the USA, European Union, UK, Australia and Japan can vaccinate their populations between 2 and 8 x.1 Vaccine nationalism is neither ethically justified, nor even in rich countries’ long-term self-interest. No one deserves the luck of their birth and few have much control over their country of residence. So, when there are four ventilators per 12 million people in some low-income and middle-income countries, and people are being buried in cardboard boxes in mass graves, it is simply unconscionable to argue that wealthy countries can keep their vaccines to themselves or even help their populations first.2 Vaccine nationalism fails to respect basic human rights and the people who have them. Moreover, many argue that rich countries have contributed to global poverty through a shared and violent history of colonialism and oppression and profit from instituting, upholding and sustaining coercive rules (eg, of international trade) that often exacerbate, rather than alleviate, global poverty.3 Be that as it may, putting basic health systems in place to ensure everyone can get vaccinated, not only against COVID-19 but a host of other terrible diseases, would better protect even the rich from resurgences …
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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 | 0.013 | 0.049 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.009 | 0.075 |
| Insufficient payload (model declined to judge) | 0.003 | 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; both teacher heads agree on what is shown here.
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".