Civil Society, Political Mobilization, and the Impact of HIV Scale-Up on Health Systems in Brazil
Bibliographic record
Abstract
This article examines the role of civil society in shaping HIV and AIDS policies and programs in Brazil. It focuses on the historical context of the redemocratization of Brazilian society during the 1980s, when the initial response to the epidemic took shape, and emphasizes the role of social movements linked to the progressive Catholic Church, the sanitary reform movement in public health, and the emerging gay rights movement in the early response to the epidemic in Brazil. It highlights the broad-based civil society coalition that took shape over the course of the 1990s and the political alliances that were built up shortly after the 1996 International AIDS Conference in Vancouver, Canada, to pass legislation guaranteeing the right to access to antiretroviral treatment. It emphasizes the continued importance of civil society organizations-in particular, AIDS-related nongovernmental organizations-and leading AIDS activists in exerting continued pressure to guarantee the sustainability of treatment access and the impact that action focused on HIV and AIDS has had on the Brazilian public health system more broadly, particularly through strengthening health infrastructures and providing a model for health-related social mobilization.
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.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".