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Record W4392804428 · doi:10.55905/oelv22n3-104

Cabotagem brasileira: análise das barreiras burocráticas que impactam negativamente a performance do modal

2024· article· pt· W4392804428 on OpenAlexaff
Fábio Enzio Moura Pereira Launé, Aldery Silveira Júnior

Bibliographic record

VenueOBSERVATÓRIO DE LA ECONOMÍA LATINOAMERICANA · 2024
Typearticle
Languagept
FieldDecision Sciences
TopicBusiness and Management Studies
Canadian institutionsMinistère des TransportsAdidas (Canada)
Fundersnot available
KeywordsModalMaterials scienceComposite material

Abstract

fetched live from OpenAlex

O Brasil apresenta condições favoráveis à utilização do transporte aquaviário, mas o sistema administrativo e fiscalizatório cria diversos entraves para o desenvolvimento desse meio de transporte. Este estudo teve como objetivo analisar os obstáculos burocráticos do sistema brasileiro de transporte de carga por cabotagem. A metodologia utilizada foi a pesquisa bibliográfica, a qual visou a identificação e análise dos aspectos do sistema de fiscalização e administração gerido pelo governo federal, responsável pelo controle da liberação e embargo das operações do transporte de carga por cabotagem. Nesse contexto, foram identificadas melhorias que o governo já vem implementando nos processos administrativos e de fiscalização, bem como foram apontados os obstáculos que o próprio governo introduz nesse processo, retardando e inviabilizando a eficiência desse tipo de transporte. Identificou-se que os procedimentos burocráticos representam obstáculos para o desenvolvimento desse meio de transporte aquaviário. Espera-se que este trabalho contribua para incentivar o poder público a adotar medidas destinadas a diminuição dos impactos negativos das barreiras burocráticas sobre o transporte de carga por cabotagem.

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 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)0.003
metaresearch head score (Gemma)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.338
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.053
GPT teacher head0.356
Teacher spread0.303 · 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; both teacher heads agree on what is shown here.

Study designObservational
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
Published2024
Admission routes1
Has abstractyes

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