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Record W2109666679 · doi:10.21874/rsp.v63i2.92

Modelos de tomada de decisão no processo orçamentário brasileiro: uma agenda de pesquisas

2014· article· pt· W2109666679 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

VenueRevista do Serviço Público · 2014
Typearticle
Languagept
FieldDecision Sciences
TopicBusiness and Management Studies
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Considerando a necessidade de realização de estudos com intuito de melhorar a compreensão dos processos decisórios no setor público, o presente artigo tem como objetivo identificar agenda para pesquisa prioritária e inédita na área orçamentária brasileira, a partir dos principais conceitos dos modelos de estudos do processo decisório incremental, do julgamento serial, dos fluxos múltiplos (MS) e do equilíbrio pontuado (terremoto). A agenda de pesquisa proposta tem como base buscar resposta para a clássica questão levantada por V. O. Key Jr. (1940): “em que base deveria ser decidido alocar X dólares na atividade A em vez da atividade B?” Para tanto, os estudos orçamentários propostos são apresentados em forma de temas e questões a ser objeto de pesquisa no âmbito dos referidos modelos decisórios, relacionados com o processo orçamentário brasileiro.Palavras-chave: Orçamento público, processo decisório, agenda de pesquisa

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)0.007
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.461
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0040.001
Open science0.0030.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.078
GPT teacher head0.360
Teacher spread0.281 · 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