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Record W3122318618 · doi:10.6000/1929-4409.2020.09.246

International Trade in the Age of Turbulent Uncertainty, Globalization, Regionalization and Pandemic

2021· article· en· W3122318618 on OpenAlexvenueno aff
Alexander Ivanovich Evdokimov, Mushfiq Guliyev

Bibliographic record

VenueInternational Journal of Criminology and Sociology · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Political and Economic Relations
Canadian institutionsnot available
FundersSaint Petersburg State University
KeywordsOpenness to experienceGlobalizationInternational tradeContext (archaeology)Order (exchange)BusinessTrade barrierEconomicsMarket economyGeography

Abstract

fetched live from OpenAlex

Purpose: This paper analyzes the modern aspects of the international trade policy system in the context of the active development of integration processes in various regions, assesses the role of the WTO (The World Trade Organization) and some ways to improve its activities in accordance with modern challenges. Methods: The methods of comparison, synthesis, abstraction, and modeling based on available information and analytical resources were used. Results: The draft of the future international trade order, especially if it is based on a network of related regional and interregional trade agreements, can become increasingly practical for the effectiveness of trade relations and public confidence regarding the idea of ​​openness and globalization. Conclusion: The main idea of this study is that the global regulation of international trade and the influence of turbulent currents of uncertainties at the national level can be improved with a higher degree of sustainable win-win approaches to reforming the WTO and regional spaces of trade relations.

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.012
Scholarly communication0.0090.009
Open science0.0000.003
Research integrity0.0020.002
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 head0.075
GPT teacher head0.353
Teacher spread0.278 · 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 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

Citations2
Published2021
Admission routes1
Has abstractyes

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