Expanding Drug Access in Brazil: Lessons for Latin
Bibliographic record
Abstract
This paper discusses Brazil’s efforts to provide essential medicines for its population while meeting international trade obligations. In the 1950s and 1960s, Brazil’s pharmaceutical industry was largely overtaken by foreign companies. To counteract this, Brazil enacted a law in 1971 that allowed the production of patented drugs in order to provide affordable medicines, encourage research and development, and reduce dependency on imports. Eventually, pressure from the United States government (through tariffs and sanctions) drove Brazil to introduce pharmaceutical patent laws. Local interests prevailed, however, through Brazil’s liberal interpretation of the TRIPS Agreement, which included a provision that pharmaceutical products must be “worked ” or manufactured locally or the government could turn to the use of compulsory licensing. Brazil’s willingness to use the threat of compulsory licensing compelled drug companies to lower HIV/AIDS drug prices substantially. Finally, the paper discusses how Canada can facilitate improving drug access in Latin America through helping Brazil expand its role as a manufacturer and providing medicines to countries without manufacturing capabilities.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".