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Record W2110855838 · doi:10.5539/ass.v10n15p236

Stages of Development of the Russian-Japanese Trade and Economic Relations

2014· article· en· W2110855838 on OpenAlexvenueno aff
N. Kuznetsova, Aleksandra Olegovna Lapteva

Bibliographic record

VenueAsian Social Science · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Political and Economic Relations
Canadian institutionsnot available
Fundersnot available
KeywordsRussian federationInternational tradeEconomic integrationEconomyBusinessEconomicsEconomic policy

Abstract

fetched live from OpenAlex

Main purpose of the article is to classify the stages of development of Russian-Japanese economic and trade relation. Special attention is given to revealing of the features, tendencies, and characteristics of the present stage of development of the Russian-Japanese trade and economic relations. Interaction of two countries in 2000-2013 has provided an active growth of turnover. The basic priority of interaction noted in such spheres of trade as mechanical engineering, power, woods, and chemical industry. It is obvious that trade of Russia with Japan still has a character of exchange of the Russian fuel, raw materials, and seafood on the Japanese finished industrial products. The basic priorities of cooperation in such sectors as trade, mechanical engineering, energy, wood, and chemical industry are defined. Right during the newest period of 2000-2013, integration of the Russian-Japanese business on territory of the Russian Federation has got the rebirth, having embodied in numerous spheres of the Russian economy. The energy sphere is still a leading sphere of trade and economic relations of Russia and Japan.

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: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.018

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 studies0.0020.002
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.016
GPT teacher head0.276
Teacher spread0.260 · 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
Published2014
Admission routes1
Has abstractyes

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