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Record W2129074678 · doi:10.5539/res.v7n10p15

Universal Banking Service in Russia

2015· article· en· W2129074678 on OpenAlexvenueno aff
Elena I. Meshkova, Svetlana V. Zubkova

Bibliographic record

VenueReview of European Studies · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicBanking stability, regulation, efficiency
Canadian institutionsnot available
Fundersnot available
KeywordsUniversalizationBusinessGlobalizationAgency (philosophy)Sample (material)Financial servicesQuality (philosophy)Economic systemEconomicsIndustrial organizationFinancial systemFinanceEconomyMarket economySociology

Abstract

fetched live from OpenAlex

The tendency of banking universalization, which has been predominant over the past decades, is determined by three important processes in the world: financial globalization of the world economy, reduced agency business of banks, and increase in competition among banks, non-bank financial institutions, and non-financial institutions. In this regard, it is of particular importance to define the concept, role and place of universal and specialized banks in banking system. The purpose of the study is to develop the scientifically based development model of a commercial banks as a universal one upon the footing of detailing the essence, place and role of universal banks in banking system, with due account for the modern processes of universalization and specialization of credit institutions, development of competitive strategy types, which is of great importance for improving the quality of bank management at macro-and micro levels, ensuring sustainable development of credit institutions and their increasing role in Russian economy. The study is based on the dialectic method of knowledge as a means to identify trends, patterns and contradictions in banking system development. Systematic, expert and analytical, comparative, institutional, evolutionary and methodological approaches were used in the course of the study, as well as a wide range of economic and statistical methods, such as functional analysis, sample survey, expert evaluations, generalization and statistical groups. According to the study, the concepts of “universal commercial bank” and “specialized commercial bank” have been clarified based on the study and systematization of theoretical and practical approaches to the definitions. The place and the types of universal and specialized commercial banks in Russian banking system have been identified. The role of universal banks in Russian economy has been substantiated, with due account for development trends: a) global and national banking systems; b) the practice of forming the strategy of universal banks abroad. The approaches to specialized banks risk management have been suggested.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.088
GPT teacher head0.284
Teacher spread0.196 · 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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