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Record W4392963603 · doi:10.1080/14650045.2024.2329948

Russia’s Patronage Over Post-Soviet De Facto States: Protecting Compatriots or Geopolitical Interest in Transnistria?

2024· article· en· W4392963603 on OpenAlexaff
Marcin Kosienkowski, Magdalena Dembińska

Bibliographic record

VenueGeopolitics · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPost-Soviet Geopolitical Dynamics
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsGeopoliticsDe factoPolitical scienceState (computer science)Political economyLawSociologyPolitics

Abstract

fetched live from OpenAlex

Most de facto states have patrons. In Eurasia, Russia serves as such to Abkhazia, South Ossetia, and Transnistria, as it did to Donetsk and Luhansk People’s Republics. What motivates patronal politics? While constructivists look for answers by studying Russia’s identity, representations and ‘compatriot’ policies and discourse, realists infer Russia’s motives looking at Moscow’s geopolitical interests. As a result, there is no unambiguous answer: is it about moral obligation to protect the brethren or about securing national interests? This article tests it empirically by analysing Russia’s patronage over Transnistria between 2001 and 2009. It investigates the issue of Transnistrian external trade, which Moldova attempted to take control of – something that Transnistria considered as threatening its very survival. The analysis undermines claims about moral motivation as a driver of Russian patronage of de facto states, at least in Transnistria. Russia is clearly reacting to geopolitical changing game rather than to the compatriots’ cry for help.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.005
Scholarly communication0.0040.003
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.054
GPT teacher head0.365
Teacher spread0.310 · 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 designQualitative
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

Citations6
Published2024
Admission routes1
Has abstractyes

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