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Record W6920470627 · doi:10.60692/qrbb9-97e58

Política Industrial, Tecno- nacionalismo e Indústria 4.0: a Guerra Tecnológica entre China e EUA

2021· article· pt· W6920470627 on OpenAlexaff

Bibliographic record

VenueGreater South Information System · 2021
Typearticle
Languagept
FieldSocial Sciences
TopicCOVID-19, Geopolitics, Technology, Migration
Canadian institutionsNetwork for Business Sustainability
Fundersnot available
KeywordsContext (archaeology)ChinaHegemonyGovernment (linguistics)DiplomacyWork (physics)Product (mathematics)State (computer science)

Abstract

fetched live from OpenAlex

: Este artigo analisa a evolução da guerra tecnológica entre China e EUA em um contexto de exacerbamento das estratégias tecno-nacionalistas de desenvolvimento industrial e tecnológico. Parte-se da hipótese de que tais políticas, ao impulsionarem as tecnologias características da Indústria 4.0, têm como objetivo forjar um novo paradigma tecno-econômico e reconfigurar as bases sobres as quais se assentam a dinâmica da concorrência intercapitalista e interestatal. A principal contribuição pretendida pelo trabalho é a análise das implicações da Guerra Tecnológica entre China e EUA a partir da segmentação do paradigma tecno-econômico da Indústria 4.0 em diferentes camadas, para além do debate tradicional acerca da transição para as redes 5G.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.270
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.003

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 head0.086
GPT teacher head0.289
Teacher spread0.204 · 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 teacher head, not a consensus.

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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueGreater South Information SystemSame topicCOVID-19, Geopolitics, Technology, MigrationFrench-language works237,207