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A base aérea de Santos. Conexões e potencialidades

2017· dissertation· pt· W2599049021 on OpenAlexaff
Pedro Nuno Alegria Canton

Bibliographic record

Venuenot available
Typedissertation
Languagept
FieldSocial Sciences
TopicInternational Law and Aviation
Canadian institutionsInternational Air Transport Association
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

A necessidade de um instrumento de transporte aéreo mais eficiente e seguro aliado ao Porto de Santos, capaz de promover a expansão e o desenvolvimento equilibrado da capital, do interior, do litoral sul e do norte do estado de São Paulo, através do incremento das conexões com a Região Metropolitana da Baixada Santista, funcionando como receptor e transmissor de energia, fluxos sociais, urbanos e econômicos na esfera macro metropolitana da capital, foi o motivo pelo especial interesse em desenvolver essa pesquisa.Nesse contexto a Base Aérea de Santos apresenta um potencial "sui generis" de criação de um complexo intermodal de cargas e de passageiros com a fusão única de ar, água, transportes ferroviário e rodoviário, na América Latina.

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)0.004
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: none
Teacher disagreement score0.043
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0190.002

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 head0.033
GPT teacher head0.356
Teacher spread0.323 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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