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Record W2064166327 · doi:10.5539/ass.v11n11p193

Structural Changes in Russian Economy and Objectives of Investment Policy

2015· article· en· W2064166327 on OpenAlexvenueno aff
A. R. Toumashev, M. V. Toumasheva, E. R. Valeev, Д. А. Мясников

Bibliographic record

VenueAsian Social Science · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Development and Regional Competitiveness
Canadian institutionsnot available
Fundersnot available
KeywordsRussian economyInvestment (military)Production (economics)Government (linguistics)Competition (biology)National economyDebtValue (mathematics)Market economyState (computer science)EconomicsEconomic systemForeign direct investmentBusinessEconomic policyEconomyMacroeconomicsPolitical science

Abstract

fetched live from OpenAlex

Issues of Russian economy development in the period of economic reforms, tendency of sectorial structurechange of national production on different stages of market reformation, reductions of production volumes ofadvanced technology products in the industries with a high value added are examined in the article. Theinfluence of government policy on the state finances of Russia is considered, the criteria applied for theestimation of reforms realization success are exposed. The analysis of lack of internal credit resources reasons inan economy, forming of national and corporate external debt, and also strengthening of technologicaldependence of the Russian producers on foreign partners and insufficient stability of the Russian economy in aglobal competition is conducted.

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)0.002
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 score0.003
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.040
GPT teacher head0.256
Teacher spread0.216 · 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

Citations2
Published2015
Admission routes1
Has abstractyes

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