Brazil’s foreign policy and health (1995-2010): A policy analysis of the Brazilian health diplomacy – from AIDS to ‘Zero Hunger’
Bibliographic record
Abstract
ABSTRACT This article analyses, from a policy analysis approach, how health entered Brazilian foreign policy between 1995 and 2010 and supported the country’s international position, which is rarely explored in the literature on Brazilian health diplomacy. By drawing on literature review, document analysis and key-actor interviews, we examined policies triggered by far-reaching and complex historical change processes in Brazil. We find significant interrelationships between foreign policy and social policy, including health. The internationalization of Brazilian domestic policies, and South-South cooperation, played a central role during Lula governments (2003-2010). Health found its way into the foreign policy agenda to support Brazil’s growing international presence. These developments were made possible by the activism and engagement of several of State and non-State actors working on two levels: national and transnational advocacy, and coordinated activities of government representatives, including Brazilian diplomats, and civil society activists. The main argument of this study is that national and international policies are intertwined in this process and that domestic dynamics and societal engagement are essential but more is needed: governmental choices are also determinant. Institutional arrangements and policies shift in different conjunctures and are constantly prone to conflicts and change.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".