COVID-19 vaccine apartheid and the failure of global cooperation
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
The equitable distribution of COVID-19 vaccines is one of the most important tests of global cooperation that the world has faced in recent decades. Collectively, global leaders failed that crucible abysmally, creating a 'vaccine apartheid' that divided the world according to income into countries with widespread access and those without. Why, given that leaders were fully aware of the risks and injustice of vaccine inequity, did governments of wealthy countries hoard doses, impede the expansion of vaccine manufacturing and otherwise prevent equitable access to vaccines? We argue that their decisions to act selfishly are best explained by governments' accountability to domestic constituencies, their lack of leadership and commitment to multilateralism and their adoption of short-term perspectives, as well as their unwillingness to curb the influence of profit-oriented global pharmaceutical companies and, to a certain extent, of an additional private actor, the Bill and Melinda Gates Foundation.
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 | 0.001 | 0.002 |
| 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) | 0.000 | 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 it