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Record W4205544877 · doi:10.31171/vlast.v28i5.7616

COVID-19 как вызов политической системе и демократии в России и мире

2020· article· ru· W4205544877 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueВласть · 2020
Typearticle
Languageru
FieldSocial Sciences
TopicSociopolitical Dynamics in Russia
Canadian institutionsnot available
Fundersnot available
KeywordsAuthoritarianismAutocracyDemocracyPoliticsRecessionDevelopment economicsPolitical sciencePolitical economyCivil societyPandemicPopulationQuarter (Canadian coin)Coronavirus disease 2019 (COVID-19)SociologyEconomicsLawGeographyMedicineDemography

Abstract

fetched live from OpenAlex

The COVID-19 pandemic is unfolding at a time when the political system inherent in the last quarter of the 20th – the first decades of the 21st century, with democracy as the key component, is in decline. According to data compiled by Freedom House, democracy has been in a recession for more than a decade, and more and more citizens in different countries, including recognized leaders of democracy, lose and not get civil and political rights every year. The key problem is that COVID-19 could turn a democratic recession into a depression, which threatens to turn political systems toward authoritarianism, the spread of which around the world can be compared to a modern pandemic. The question arises if autocratic regimes generally are able to take tougher political measures to curb the spread of the virus. If so, are they more effective or China is an exception? This article is written as part of the state task on the topic of the NIR for 2019–2021 «Russian Society before New Challenges: Dynamics of Social and Economic Situation, Value Orientations and Social Participation of Various Population Groups».

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)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.864
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.003
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0190.009

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 head0.089
GPT teacher head0.399
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