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Record W2301290985 · doi:10.4000/monderusse.8264

Serhy Yekelchik, Stalin’s Citizens, Everyday Politics in the Wake of Total War

2015· article· fr· W2301290985 on OpenAlexaboutno aff
Nadiya Maïsseu

Bibliographic record

VenueCahiers du monde russe · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicEastern European Communism and Reforms
Canadian institutionsnot available
Fundersnot available
KeywordsWakePoliticsPolitical scienceHistoryLawMechanicsPhysics

Abstract

fetched live from OpenAlex

Serhy Yekelchyk vient de faire paraître aux éditions Oxford University Press une analyse de la vie citoyenne pendant la fin de la période de gouvernement de Stalin. Serhy Yekelchyk est professeur à l’université de Victoria (Victoria, Colombie britannique, Canada). Il a obtenu son master à l’Académie des sciences ukrainienne et son doctorat, sur les représentations du passé dans la culture stalinienne, à l’université de l’Alberta. Poursuivant ses recherches dans le domaine de la civilisation u...

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.037
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.007
Scholarly communication0.0060.005
Open science0.0010.002
Research integrity0.0030.004
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 head0.026
GPT teacher head0.258
Teacher spread0.232 · 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
Published2015
Admission routes1
Has abstractyes

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Same venueCahiers du monde russeSame topicEastern European Communism and ReformsFrench-language works237,207