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Record W2972183840 · doi:10.21452/rde.v1i42.5892

A INDÚSTRIA AERONÁUTICA BRASILEIRA: DESENVOLVIMENTO E COMPETITIVIDADE INTERNACIONAL

2019· article· pt· W2972183840 on OpenAlexaboutno aff
Felipe Montini, Andrey Luis dos Santos Robinson, Daniel Arruda Coronel, Paulo Ricardo Feistel

Bibliographic record

VenueRDE - Revista de Desenvolvimento Econômico · 2019
Typearticle
Languagept
FieldBusiness, Management and Accounting
TopicGlobal Trade and Competitiveness
Canadian institutionsnot available
Fundersnot available
KeywordsCompetitor analysisRevealed comparative advantageProduction (economics)Position (finance)Index (typography)Comparative advantageBusinessCompetitive advantageInternational tradeEconomyGeographyAgricultural economicsEconomicsMarketingComputer science

Abstract

fetched live from OpenAlex

The present study aimed to make an analysis of the Brazilian aeronautical sector both of its historical evolution as well as the international competitiveness of the country in the production of airplanes. The analysis of competitiveness was carried out through the calculation of four indicators, that is revealed comparative advantage (IVCR), coverage rate (TC), relative position indicator (POS) and the performance index (DES). We also calculated the indicators for the main competitors of the country, which are the United States, France and Canada, and compared them with the Brazilian indicators. The results showed that Brazil has comparative advantages in production of airplanes, mainly in aircraft categories of medium and large size, as well as demonstrated international competitiveness in the sector, having in this sector one of the strong points in its economy with regard to products of higher added value.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.805
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0040.002
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.016

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 head0.020
GPT teacher head0.240
Teacher spread0.221 · 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 designNot applicable
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
Published2019
Admission routes1
Has abstractyes

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