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Trust in the State and Participation in the Russian Bank Deposit Market

2012· article· en· W2901644241 on OpenAlexaff
Andrew Spicer, Ilya Okhmatovskiy

Bibliographic record

VenueAcademy of Management Proceedings · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicCorruption and Economic Development
Canadian institutionsMcGill University
Fundersnot available
KeywordsState (computer science)BusinessArgument (complex analysis)State ownershipBlind trustPoliticsAccountingMarket economyPublic relationsFinanceEconomicsPolitical scienceEmerging marketsLaw

Abstract

fetched live from OpenAlex

We extend research into the antecedents and consequences of institutional-based trust to the study of state-owned enterprises. We propose that if market participants trust the top political leadership in a country to oversee and monitor state-owned enterprises, then they may come to view state ownership as a signal of safety and security in an otherwise turbulent market environment. We test our argument about the positive, trust-producing functions of state-owned enterprises using a survey of over 2,400 Russian individuals about their preferences of where to deposit their savings: in the Russian state bank, in a private bank or in no bank at all. We find that the antecedents and consequences of individual-level trust in state ownership differ from the antecedents and consequences of trust in state regulation, supporting the proposition that state ownership represents an independent mechanism by which institutional-based trust is produced.

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)0.010
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 score0.008
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.033
GPT teacher head0.312
Teacher spread0.279 · 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

Citations1
Published2012
Admission routes1
Has abstractyes

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