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Record W2724130573 · doi:10.1111/russ.12150

Currency Crises in Post‐Soviet Russia

2017· article· en· W2724130573 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Russian Review · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicRussia and Soviet political economy
Canadian institutionsMcGill University
Fundersnot available
KeywordsDepreciation (economics)CurrencyGovernment (linguistics)PoliticsEconomicsEconomic policyRevenueCapital (architecture)Political scienceEconomic systemPolitical economyDevelopment economicsInternational economicsEconomyMarket economyMonetary economicsFinancial capitalFinanceCapital formationGeographyHuman capital

Abstract

fetched live from OpenAlex

Currency crises have been a recurrent feature of Russia's post‐Soviet experience. This article examines three episodes of sudden and sharp ruble depreciation in 1998, 2008, and 2014–16. We examine these crises and their political consequences as iterative episodes in the Russian government's ongoing efforts to deal with its structural dependence on energy revenues and international capital flows. We argue that the 1998 crisis and the Russian government's response to it proved effective in transforming policies and institutions that had contributed to the ruble's collapse, but also paradoxically reinforced the central role of resource revenues and international capital flows in Russia's political economy. Policy decisions after 2008 then represented variations on a theme, leaving the Russian government better able to manage future currency crises while simultaneously maintaining and deepening the state's underlying structural vulnerabilities as well as its patronage‐based political‐economic system. The crisis of 2014–16 may, however, ultimately bring greater shifts in policy as Russia adapts to fundamentally changed international circumstances.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.901
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.062
GPT teacher head0.411
Teacher spread0.348 · 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