A CAPACIDADE ESTRATÉGICA DO TRANSPORTE MARÍTIMO DE CARGAS NO BRASIL: CENÁRIOS, AMEAÇAS E OPORTUNIDADES
Bibliographic record
Abstract
Almirante Mahan ja apontava que a projecao internacional de paises costeiros perpassa, necessariamente, pela capacidade estrategica desses estados sobre os fluxos do comercio internacional e do Transporte Maritimo de Cargas (TMC). Nesse sentido, frente a crescente atividade dos complexos logisticos internacionais portuarios, torna-se fundamental questionar: “Como a politica nacional pode contribuir, estrategicamente, com a melhor insercao internacional do Brasil via atividade maritima de cargas?” Assim, delineamos a seguinte metodologia, baseada na revisao bibliografica e coleta de dados quali quantitativos: tipificar as coalizoes e paradigmas no TMC; descrever o contexto atual da Marinha Mercante frente a politica nacional do TMC; realizar estudo comparado entre Brasil, EUA, China, Canada e Australia; e prospectar cenarios para acao. Identificou-se que a politica de TMC no Brasil e industrial nacional corporativa, ou seja, centralizada no governo federal e com baixa competitividade e insercao internacional. Ha forte tendencia ao paradigma industrial liberal. Estrategicamente, a politica nacional do TMC pode apoiar cenarios que favorecam a inclinacao para se tornar pos-industrial liberal ou pos-industrial nacional corporativa para melhor posicionamento internacional do pais.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".