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Record W3122321318 · doi:10.32843/bses.58-3

THE MODERN TRADE POLICY OF THE USA AND ITS IMPACT ON THE FOREIGN TRADE RELATIONS

2020· article· en· W3122321318 on OpenAlexaboutno aff
Olena Yevdochenko, Volodymyr Lahutin

Bibliographic record

VenueBlack Sea Economic Studies · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFiscal Policy and Economic Growth
Canadian institutionsnot available
Fundersnot available
KeywordsInternational tradeInternational economicsCommercial policyEconomicsForeign policyTrade barrierBusinessPolitical sciencePoliticsLaw

Abstract

fetched live from OpenAlex

The article is devoted to the analyses of the modern trade policy of the USA under the presidency of D. Trump and its further potential impact on the overall foreign trade relations.The economic activity of Donald Trump was compared with the activity of previous presidents and it was pointed out that the domestic and foreign policies could be described as protectionism in all spheres of it.For understanding how the policy of Donald Trump will further impact on the US economy, the impact of its main provisions in the economic parameters of the country was assessed and 4 scenarios and the impact of every scenario to the foreign relations were described.Also, the results of the "trade war" with China for the United States and the question of the NAFTA transformation was summed up: both hard and soft option of NAFTA breakdown were extremely disadvantageous for every party.Most of all, the economy of Mexico suffers, while the USA and Canada also suffer losses, despite the implementation of protectionist measures.In addition, the main changes to the terms of trade withing the USMCA were described.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.088
GPT teacher head0.278
Teacher spread0.190 · 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 designObservational
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

Citations2
Published2020
Admission routes1
Has abstractyes

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