State-society nexus in Brazil and Venezuela and its effect on participatory governance efforts in health and other sectors
Bibliographic record
Abstract
INTRODUCTION: Participatory governance is about state and society jointly responsible for political decisions and services. The origins and trajectory of participatory governance initiatives are determined by the socio-political context and specifically the nature of state-society relations. Participation by communities in health interventions has been promoted globally as a strategy to involve citizens in health decision-making but with little success. Such participatory governance in health should be seen not as a strategy alone but as a political project in which organized communities challenge the status-quo in health. METHODS: This paper deals with the wider socio-political context of participatory governance initiatives. It uses comparative politics literature to analyze socio-political context in Brazil and Venezuela, historically spanning half century prior to 2015, to assess whether it was conducive to participatory governance. The focus of this paper's analysis particularly is on the socio-political changes that were taking place in Brazil and Venezuela in the decades of the 1980s and 1990s. Those decades formed the bedrock on which the two countries experienced democratization and a socialist transformation that has lasted well into the first decade of the twenty-first century. The situation in the health sector is also described for the two countries showing a parallel trajectory to the wider political context and that reflected the political ideology. For this assessment, we use a contemporary framework called the 'socialist compass' which links dynamics of power relations in various ways among three domains of power, namely, state power, economic power, and social power. Socialist compass can be used to assess whether such reforms are moving towards or against social empowerment. CONCLUSION: Our analysis reveals that both Brazil and Venezuela were moving in the direction of social empowerment until at least the year 2015, just before the political turmoil started engulfing the left-leaning regimes in both the countries.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".