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Far Eastern Center of the World Economy

2024· article· en· W4408958707 on OpenAlexaboutno aff
Alexander V. Akimov

Bibliographic record

VenuePolycentric World · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEconomic and Technological Developments in Russia
Canadian institutionsnot available
Fundersnot available
KeywordsCenter (category theory)GeographyEconomyEconomic geographyPolitical scienceEconomics

Abstract

fetched live from OpenAlex

The article touches on the current topic of shaping a new Far Eastern Center (FEC) of the world economy, which unites China, Japan, the Republic of Korea, Taiwan and Hong Kong. A comparative analysis of a number of indicators of the FEC and the West, including the USA, EU, Great Britain and Canada, allows us to say that in terms of its total economic power the FEC today is already comparable to the collective West. So, the GDP of the FEC is about 1/2 of the GDP of the West at current prices, but 2/3 at purchasing power parities. The FEC is ahead of the West in a number of industries, including manufacturing, automobiles, industrial robots, and information and communications technology products. Analysis of foreign trade positions reveals the presence of close ties between countries within the FEC and the collective West, which indicates the integrity of these two centers in the global economy. At the same time, China’s high dependence on exports to Western countries is definitely visible, while for the rest of FEC countries, trade ties within it are more important than ties with the West. An economic periphery is being shaped around the FEC, represented by countries that are members of the Regional Comprehensive Economic Partnership (RCEP), in particular, all ASEAN countries, Australia, and New Zealand. Shaping a new large-scale structure, the core of which is the FEC, makes it possible in the future to solve a wide range of problems. In particular, to ensure economic growth of incoming countries by relying on developed states and regions, solve raw material issues through the development of resources of ASEAN countries, coordinate actions to overcome backwardness in weak countries and regions, develop a common economic policy in relation to countries not included in the RCEP. Observing today’s economic growth of the states included in the FEC and RCEP, we can talk about significant changes in the modern world system, reformatting of center-periphery relationships in the economy, and the emergence of a new world configuration of centers of economic and technological power and influence.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0070.006
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0200.004

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 head0.019
GPT teacher head0.272
Teacher spread0.253 · 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
Published2024
Admission routes1
Has abstractyes

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