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Record W419882066

Банки с иностранным участием в России: реакция на внешние угрозы

2014· article· ru· W419882066 on OpenAlexaboutno aff
Бабурина Наталья Алексеевна, Куцев Алексей Геннадьевич

Bibliographic record

VenueВестник Тюменского государственного университета. Социально-экономические и правовые исследования · 2014
Typearticle
Languageru
FieldDecision Sciences
TopicEconomic, Social, and Public Health Issues in Russia and Globally
Canadian institutionsnot available
Fundersnot available
KeywordsSanctionsForeign capitalContext (archaeology)BusinessCapital (architecture)Economic sanctionsFinancial systemCapital marketEconomic policyInternational economicsEconomicsFinancePolitical scienceForeign direct investmentMacroeconomics
DOInot available

Abstract

fetched live from OpenAlex

The present article studies entry stages of foreign credit institutions to the domestic banking market. The authors have determined time points at which the rate of non-resident expansion to authorized capital of commercial banks increases/decreases depending on the political and economic situation in Russia. Quantitative and qualitative indicators of foreign bank participation in joint authorized capital of the Russian banking system have been defined. The focus of attention is model banking business strategy in Russia by non-residents in the context of past economic and financial crises, as well as forms of interaction of foreign banks with their customer base. The article contains an assessment of the international financial market response to the economic sanctions imposed by the United States, Canada, Japan and Western Europe. Those sanctions gave rise to a policy of gradual access restriction of long-term and medium-term capital to markets for Russian banking structures. In conclusion the authors consider it possible to launch long-term processes of property redistribution in the Russian banking system in favor of residents and non-residents from Asian countries.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.028
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.687
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0280.014
Meta-epidemiology (narrow)0.0060.006
Meta-epidemiology (broad)0.0090.005
Bibliometrics0.0040.008
Science and technology studies0.0070.005
Scholarly communication0.0080.006
Open science0.0150.004
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0340.052

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 head0.078
GPT teacher head0.399
Teacher spread0.320 · 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; both teacher heads agree on what is shown here.

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

Explore more

Same venueВестник Тюменского государственного университета. Социально-экономические и правовые исследованияSame topicEconomic, Social, and Public Health Issues in Russia and GloballyFrench-language works237,207