The Politics of Avoidable Blindness in Latin America—Surgery, Solidarity, and Solutions: The Case of Misión Milagro
Bibliographic record
Abstract
Avoidable blindness, especially when caused by cataracts, is a disease primarily of the economically disadvantaged sectors of the population. With a focus on Latin America and the Caribbean, this paper focuses on the program Misión Milagro within its historical, political, and economic contexts. This initiative, led by the governments of Cuba and Venezuela, covers close to 35 countries across Latin America, the Caribbean, Asia, and Africa. It is well-known throughout Latin America as close to 2 million patients have undergone free screening, corrective surgery, and rehabilitation since its inception in 2004. Misión Milagro shows that implementation of a massive initiative to curb avoidable blindness caused by cataracts in a relatively short time is feasible. The program is also built upon a unique model of international cooperation, which stresses social objectives and solidarity rather than hegemonic international initiatives built on commercial relationships. It also provides elements that could be applied to other public health issues of global or national relevance, not only to other low-middle-income countries, but also to high-income countries such as Canada.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| 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; 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".