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Record W2903784656 · doi:10.1590/0034-761220170047

Os múltiplos papéis dos governos estaduais na política educacional brasileira: os casos do Ceará, Mato Grosso do Sul, São Paulo e Pará

2018· article· pt· W2903784656 on OpenAlexaff
Catarina Ianni Segatto, Fernando Luiz Abrucio

Bibliographic record

VenueRevista de Administração Pública · 2018
Typearticle
Languagept
FieldSocial Sciences
TopicLocal Government Finance and Decentralization
Canadian institutionsUniversity of Regina
FundersAustralian Government
KeywordsPolitical sciencePublic administration

Abstract

fetched live from OpenAlex

Resumo A literatura sobre federalismo aponta que a coordenação do governo federal tem papel central para garantir maior consistência às políticas sociais dos governos subnacionais. Este artigo buscou compreender o papel das relações intergovernamentais nas políticas municipais de educação. Apesar de a Constituição Federal determinar a colaboração entre os entes federados, há diferentes modelos de relacionamento entre estados e municípios na política educacional. Esta pesquisa comparou quatro estados - Ceará, Mato Grosso do Sul, São Paulo e Pará - com modelos distintos de relacionamento com o objetivo de identificar seus resultados nas políticas municipais. A análise de questionários e entrevistas semiestruturadas mostra que o tipo de cooperação tem implicações na capacidade institucional e financeira, na coordenação das políticas municipais e na implementação de políticas federais.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.479
Threshold uncertainty score0.952

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0020.002
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.034
GPT teacher head0.336
Teacher spread0.302 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations27
Published2018
Admission routes1
Has abstractyes

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