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Record W3171546333 · doi:10.6000/1929-4409.2021.10.21

Government Regulation of Foreign Economic Activity in Russia: Legal and Economic Aspects

2021· article· en· W3171546333 on OpenAlexvenueno aff
З. К. Раджабова, O.R. Radzhabov, M.M. Osmanov, Timur Aygumov, G.A. Emirova, С.З. Хидирова

Bibliographic record

VenueInternational Journal of Criminology and Sociology · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicEconomic and Technological Developments in Russia
Canadian institutionsnot available
Fundersnot available
KeywordsOrder (exchange)Balance (ability)State (computer science)Competition (biology)GlobalizationGoods and servicesGovernment (linguistics)Economic globalizationBusinessEconomicsMarket economyEconomic policyEconomic systemInternational tradeFinance

Abstract

fetched live from OpenAlex

The paper assesses the fact that in the current conditions of globalization, any national economy is becoming more open, and therefore the state should take into account in its trade and economic policy the consistent relationship between the processes occurring within the economy and in the sphere of foreign economic relations. The state also acts as the organizer of the system of servicing foreign economic relations and achieving internal economic equilibrium, and finances this activity from budgetary funds. This system is branched in its nature, covering such areas of activity as the provision of information and consulting services, and organization of advertising and exhibition work; it also helps to increase the efficiency of foreign economic activity, introducing new participants to it. The authors conclude that in order to maintain domestic economic balance, the state should strengthen its influence on imports in order to maintain domestic producers and without depriving them of competition from foreign goods at the same time.

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)0.002
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.037
GPT teacher head0.305
Teacher spread0.268 · 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
Published2021
Admission routes1
Has abstractyes

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Same venueInternational Journal of Criminology and SociologySame topicEconomic and Technological Developments in RussiaFrench-language works237,207