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Record W1646886822 · doi:10.5539/ass.v11n14p259

Evaluation of Russian Foreign Trade Activities from 2000 to 2013

2015· article· en· W1646886822 on OpenAlexvenueno aff
N. Kuznetsova, Olga Igorevna Sharko

Bibliographic record

VenueAsian Social Science · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Development and Digital Transformation
Canadian institutionsnot available
Fundersnot available
KeywordsInternational tradeVulnerability (computing)EconomicsBusinessInternational economics

Abstract

fetched live from OpenAlex

The current state of Russian economy determines the necessity of evaluation of foreign trade policy, which is a crucial component of industrial regulation. This formed the purpose of the research – the identifying of the opportunities for intensification of Russia’s participation in the regional integration process through a comparative analysis of the development of the foreign trade relations of the Russian regions in the period from 2000 to the present time. Analysis of interregional cooperation of Russian regions showed that there is a trade deficit in most regions. In most regions there is а focus on the export of resources and irrational structure of imports, which promotes the preservation of the inertial scenario of expansion of foreign economic activity of the regions and the country as a whole. The growth of exports is implementedat higher ratescompared to the growth of imports. Consequently, Russian foreign trade, which had a stable export orientation previously, has become even more export-oriented. Russian Federation despite the status of a major industrial power has actually become a mono-cultural exporter. With such high concentration of exports in a small group of commodities and materials to Russia the scope of maneuver into the foreign economic relations significantly narrows and its vulnerability against the negative changes in the world conjuncture greatly increases. In addition, high deterioration of external conjuncture of the energy export was a cause of a number of serious systemic risks for domestic economy and finally may be a cause of deep economic crisis.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.004
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.089
GPT teacher head0.267
Teacher spread0.178 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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