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Record W2297820197 · doi:10.1111/1758-5899.12301

Frustrated Leadership: Russia's Economic Alternative to the West

2016· article· en· W2297820197 on OpenAlexaff
Juliet Johnson, Seçkin Köstem

Bibliographic record

VenueGlobal Policy · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicRussia and Soviet political economy
Canadian institutionsMcGill University
Fundersnot available
KeywordsPolitical economyCredibilityNationalismNeoliberalism (international relations)PoliticsGovernment (linguistics)State (computer science)Political scienceEconomic powerEconomic collapseFinancial crisisOrder (exchange)Economic nationalismEconomic stabilityPower (physics)Economic systemEconomicsLawFinance

Abstract

fetched live from OpenAlex

Abstract The Russian government saw the 2008 global financial crisis as both a repudiation of western neoliberalism and as an ideal opportunity to promote its own international economic leadership. Russia's alternative vision encompasses multipolarity, financial nationalism and political illiberalism. These policies are symbiotic. The state uses its control over financial flows to build and maintain political and economic power at home as well as to project its influence abroad, all justified with a strong dose of great power nationalism positioning Russia as the Eurasian pole in an emerging multipolar world order. However, the Kremlin is doomed to frustration in its quest to assert international economic leadership. The Russian government has the ability to shake up the existing international order but lacks the credibility, stability, or economic clout to lead the creation of a new one. This has troubling implications for the future of international economic cooperation and reform, as Russia's frustrations have increasingly turned it in reactive and confrontational directions.

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)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.010
Scholarly communication0.0100.003
Open science0.0010.006
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0030.001

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 head0.058
GPT teacher head0.350
Teacher spread0.292 · 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 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

Citations39
Published2016
Admission routes1
Has abstractyes

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