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Record W3169548339

Análise da efetividade da Ação Pública frente às exponenciais receitas de royalties do pré-sal : – Estudo de caso de Ilhabela-SP

2020· article· pt· W3169548339 on OpenAlexaboutno aff
Rafael Rodrigues da Costa

Bibliographic record

VenueControle Externo - Revista do Tribunal de Contas do Estado de Goiás · 2020
Typearticle
Languagept
FieldDecision Sciences
TopicBusiness and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSanitationWelfare economicsPer capitaGeographyContext (archaeology)TourismPolitical scienceBusinessEconomicsPopulationSociologyDemographyEngineeringEnvironmental engineering
DOInot available

Abstract

fetched live from OpenAlex

From the beginning of the massive exploration in 2017 of the oil fields located in the Santos Basin, notably Sapinhoa and Lapa, the municipalities that, by right, receive oil royalties and special stakes, were and are being greatly favored pecuniaryly. In this context, the city of Ilhabela-SP stands out, which, according to indicators, is by far the most per capita, reaching budget levels of tourist cities located in developed countries such as Daytona Beach (United States) and Kelowna (Canada). However, it is noted that social indicators do not go with such budgetary robustness, considering the Indice de Efetividade da Gestao Municipal, sanitation reports, education and environment indexes, while spents with concerts and events are relevant. This paper aims to analyze whether the current model of royalty sharing among Brazilian municipalities is contributing or not to the effectiveness in public actions, according reports made by the Tribunal de Contas do Estado de Sao Paulo.

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)0.002
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.086
Threshold uncertainty score0.171

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.058
GPT teacher head0.322
Teacher spread0.264 · 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 designCase report
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

Citations0
Published2020
Admission routes1
Has abstractyes

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