Programmatic Configurations for the Twenty-First-Century Developmental State in Urban Brazil
Bibliographic record
Abstract
Supplementing a traditional focus on economic dimensions of development, sociologists now frequently examine the origins of macro-level growth in human capabilities. One emergent theoretical framework for doing so emphasizes the promise of “twenty-first-century developmental states” for broadening delivery of capability-enhancing public services like health and education. Nevertheless, the configurations of state-society actors that are consistently willing and able to construct such institutions are far from obvious, highlighting a missing-agent problem at the core of the framework. The article addresses this gap by tracing Brazil's historic improvements in social development to what I call “programmatic configurations,” or broad-based alliances of civil and political society actors that ameliorate vexing public problems by building democratic institutions and state capacities needed to enact rights-based social policies. It argues that frequent local office-holding by “sanitarista” activists from the country's most important health movement, the Sanitarist Movement, has been essential for constituting the programmatic configurations that maximized social development across urban Brazil in recent decades. More specifically, a brief historical account of the movement and fuzzy-set analysis show that programmatic configurations assembled by sanitaristas in Brazil's largest capitals have generally been a sufficient condition for maximizing improvement over time in three outcomes: infant-mortality reduction, municipal spending on health and sanitation, and municipal delivery of primary public health care. I correspondingly argue for broadening the twenty-first-century developmental state framework to accommodate how programmatic configurations—and the pragmatically inclined civil society activists at their core—can contribute to democratic state-building for social development.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.010 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.004 |
| 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".