Expanding the Debate: Citizen Participation for the Implementation of the Right to Health in Brazil.
Bibliographic record
Abstract
Brazil has established a well-known constitutional right to health. Legal scholars have focused largely on one aspect of this right: the role of the courts in enforcing health care access. Less attention has been paid to another aspect: citizens' right to participate in health planning. Participation is a constituent component of Brazil's right to health that is intended to guarantee accountability and fair resource distribution for improved population health. In this paper, drawing on constitutional analysis and interviews carried out for my doctoral research, I discuss Brazil's national-level participatory body, the National Health Council, and its potential for fostering accountability and balancing individual and societal interests in health policy. Effective participation, I contend, is a way to strengthen Brazil's health system to the benefit of the entire population, rather than only those who have access to the courts. This paper seeks to underline the constitutional requirement of participation as a core element of the realization of the right to health in Brazil and to invite other legal scholars to critically engage with the way in which Brazil's right to health is implemented.
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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 | 0.031 | 0.035 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.027 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.008 | 0.008 |
| 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".