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Record W4381377682 · doi:10.1017/nps.2023.6

Why the 2020 Belarusian Protests Failed to Oust Lukashenka

2023· article· en· W4381377682 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

VenueNationalities Papers · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEastern European Communism and Reforms
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsOpposition (politics)AuthoritarianismDictatorNationalismPolitical economyPolitical scienceNational identityConsolidation (business)SociologyDemocracyLawPoliticsEconomics

Abstract

fetched live from OpenAlex

Abstract This article uses a comparison with Ukraine to investigate why protests against Lukashenka in 2020 failed to oust the Belarusian dictator. First, in contrast to his counterparts in Ukraine, Lukashenka successfully built new authoritarian economic and coercive institutions in the 1990s that raised the costs of opposition activity and reduced challengers’ access to business support. Second, Belarus has lacked a strong national identity that was critical to opposition success in Ukraine. In Ukraine, relatively powerful anti-Russian nationalism repeatedly motivated a core group of anti-incumbent activists and facilitated the opposition’s control over local power structures that supported protest activities at critical moments. In Belarus, weak national identity and consequent dearth of committed activists in national government institutions in the 1990s hampered efforts to challenge Lukashenka’s consolidation of authoritarian power. In addition, weaker national identity undermined the capacity of opposition forces to control local power structures that might have aided opposition protest.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.793
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.025
GPT teacher head0.303
Teacher spread0.278 · 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