MétaCan
Menu
Back to cohort
Record W4414553589 · doi:10.1111/puar.70045

Brazil's Public Administration and the Challenge of New Democracies: Promoting Social Inclusion

2025· article· en· W4414553589 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePublic Administration Review · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicLocal Government Finance and Decentralization
Canadian institutionsMicrosemi (Canada)
FundersConselho Nacional de Desenvolvimento Científico e TecnológicoFundação de Amparo à Pesquisa do Estado de São Paulo
KeywordsLegislatureDevolution (biology)DecentralizationAccountabilityAutonomyCorporate governanceDemocratizationDemocracy

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.966
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.035
GPT teacher head0.356
Teacher spread0.321 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it