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Record W2967388536 · doi:10.1163/18763324-04603007

Dnipropetrovsk Oligarchs: Lynchpins of Sovereignty or Sources of Instability?

2019· article· en· W2967388536 on OpenAlexaff
Orysia Maria Kulick

Bibliographic record

VenueThe Soviet and Post-Soviet Review · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSoviet and Russian History
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsUkrainianPolitical sciencePolitical economySovereigntyState (computer science)Power (physics)ContingencyExistentialismEconomySociologyPoliticsLawEconomics

Abstract

fetched live from OpenAlex

The choices made by oligarchs and citizens in Dnipropetrovsk during and after the Euromaidan rebellion of 2013–14 were not just event-driven manifestations in response to domestic and internal pressures. They were responses shaped by historically-composed social structures and interrelationships forged over decades within the region, across southeastern Ukraine, and in relation to competing centers of power—in Kyiv, Moscow, Washington, Brussels and beyond. This paper argues that Dnipropetrovsk—and its leaders—played a crucial intermediary role in not only deescalating tensions in southeastern Ukraine more broadly, but also by buttressing the Ukrainian state in a time of existential crisis. In this analysis, oligarchic self-interest is taken as a given and one factor among many, including the signaling of interventionist intent from an external patron and also deeper, regionally specific, economic and structural forces. This piece brings into the analysis a historian’s understanding of contingency, arguing that analyses of developments in southeastern Ukraine (in the past and present) should strive to better situate regional actors not only in space but also time, so as to better understand the complex set of forces and heterogenous social temporalities shaping their choices.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.021

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 studies0.0010.005
Scholarly communication0.0030.003
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.294
Teacher spread0.273 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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