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Record W2153512042 · doi:10.5539/ibr.v2n4p194

Research on the Sino-us Trade Conflict and Countermeasures

2009· article· en· W2153512042 on OpenAlexvenueno aff
Qige Wu

Bibliographic record

VenueInternational Business Research · 2009
Typearticle
Languageen
FieldDecision Sciences
TopicGame Theory and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsPaceChinaInternational tradeCompetition (biology)GlobalizationEconomicsTrade barrierEconomic globalizationWorld economyEconomic integrationCapital (architecture)International economicsBusinessMarket economyPolitical scienceLaw

Abstract

fetched live from OpenAlex

With the development of information and science & technology, the pace of globalization is accelerating, which has more and more great influences on international trade. The development of economic globalization not only deepens mutual interdependence among countries, but also raises their conflicts and frictions. Trade conflicts will affect the development of bilateral trade and regional economy, which may result in worldwide economic crisis. Because of the development of foreign trade and rise of Chinese economy, there are more and more conflicts between China and its trade partners, especially Sino-US trade conflicts. In today’s increasingly competitive world economy, international competition is no longer just the capital and technology competition Law has been involved in the game. China should learn to use the weapon of law and other ways to protect themselves.

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)0.016
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.576
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.504
GPT teacher head0.561
Teacher spread0.058 · 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 designTheoretical or conceptual
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

Citations4
Published2009
Admission routes1
Has abstractyes

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