Brazil's Public Administration and the Challenge of New Democracies: Promoting Social Inclusion
Bibliographic record
Abstract
ABSTRACT Brazil's public administration (PA) has sought to strengthen democratic governance through an emphasis on social inclusion. Since democratization in 1988, reforms have aimed to address entrenched inequalities along with decentralization and professionalism spurring innovations in social inclusion. This article examines Brazil's PA and highlights its key PA innovations, specifically: (a) inclusive public policy councils with substantial oversight of implementation; (b) legislative public accountability bodies with authority to impose penalties; (c) devolution granting far‐reaching administrative, political, and financial constitutional autonomy to cities to enhance responsiveness and innovation; and (d) wide‐ranging guaranteed income programs to reduce poverty. This article also draws attention to co‐existing PA “islands of excellence” and efforts to address such challenges as rule‐bound bureaucracies, clientelism, and weak institutional capacities in the Global South. It concludes with implications for strengthening public managers' leadership in democratic governance.
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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 | 0.009 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| 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".