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Record W4409854037 · doi:10.31696/s086919080034290-6

Far Eastern Center of the World Economy Tantamount to the West

2025· article· en· W4409854037 on OpenAlexaboutno aff
Alexander V. Akimov

Bibliographic record

VenueVostok Afro-Aziatskie obshchestva istoriia i sovremennost · 2025
Typearticle
Languageen
FieldDecision Sciences
TopicEconomic, Social, and Public Health Issues in Russia and Globally
Canadian institutionsnot available
Fundersnot available
KeywordsCenter (category theory)

Abstract

fetched live from OpenAlex

In recent years, the Far Eastern Center (DC) of the world economy has emerged, it includes China, Japan, South Korea (RK), Hong Kong (China), Taiwan Province. In terms of economic opportunities and technological level, it is comparable to the collective West consisting of the United States, Canada, the European Union (EU), and the United Kingdom. Data on foreign trade demonstrate the internal connectivity of the centers. The DC countries form a coherent group, and are not appendages of the Western economy. According to current exchange rates, the GDP of the DC is about half of the GDP of the West, according to purchasing power parities, about 2/3. China, Japan and South Korea are the largest producers in the manufacturing industry, including steel and automobiles production. In terms of the value added by processing in the manufacturing industry, DC surpasses the collective West. An important feature of the DC is a strong financial base. DC is more than twice ahead of the West in terms of foreign exchange reserves. DC's technological leadership is particularly remarkable in the electronics industry. DC countries are leading manufacturers and exporters of digital equipment: computer, telecommunications equipment, consumer electronics, and components for their production. In 2022, about 50% of the world exports of ICT goods were from DC countries. The expansion of DC opportunities through the creation of the world's largest free trade area – Comprehensive regional economic partnership consisting of China, South Korea, Japan, ASEAN countries, Australia, New Zealand – creates an environment for long-term sustainable growth and development.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.036
Threshold uncertainty score0.121

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0060.004
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0360.007

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 head0.056
GPT teacher head0.359
Teacher spread0.302 · 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 designNot applicable
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
Published2025
Admission routes1
Has abstractyes

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