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NOVA ESTRATÉGIA NACIONAL DE DEFESA E O ALINHAMENTO DO PROGRAMA ESTRATÉGICO DO EXÉRCITO GUARANI

2019· article· pt· W2979194919 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 da Escola Superior de Guerra · 2019
Typearticle
Languagept
FieldSocial Sciences
TopicEducation and Public Policy
Canadian institutionsMinistère des Transports
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

O Programa Estratégico do Exército (PrgEE) Guarani consiste na implantação de uma Nova Família de Blindados sobre Rodas (NFBR), concebida para transformar a Infantaria Motorizada em Mecanizada e modernizar as Unidades de Cavalaria, que empregam as Viaturas Blindadas de Transporte de Pessoal (VBTP) EE-11 Urutu desde 1974. Atualmente, o Programa vem contribuindo para o fomento de novas capacitações, fortalecendo a indústria brasileira com a obtenção de tecnologia de emprego dual (civil e militar). Diante do exposto, o presente trabalho discorrerá sobre o alinhamento do Projeto Viaturas 6x6, Média Sobre Rodas (MSR), com as orientações e diretrizes da minuta da Política Nacional de Defesa (PND-END 2016), tendo como base as Estratégias de Defesa (ED), que substituíram as diretrizes da Estratégia Nacional de Defesa (END 2012). Pretende-se, ao final, demonstrar que os benefícios gerados por este Programa favorecem a consecução dos Objetivos Nacionais de Defesa (OND), contribuindo para a Defesa Nacional, o desenvolvimento da Base Industrial de Defesa (BID) e a soberania do Brasil.

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)0.003
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.885
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0060.001
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.003

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 head0.041
GPT teacher head0.353
Teacher spread0.312 · 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