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Record W2588583261 · doi:10.5195/cbp.2017.218

The Lviv Train Station Restaurant as a Soviet Enterprise, 1944-1980

2017· article· en· W2588583261 on OpenAlexaff
Andriy Zayarnyuk

Bibliographic record

Venue˜The œCarl Beck papers in Russian and East European studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicPost-Communist Economic and Political Transition
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsNexus (standard)IdeologyPolitical scienceWorld War IIState (computer science)PoliticsEconomyEngineeringLawEconomics

Abstract

fetched live from OpenAlex

This article is a micro-history of a restaurant in post- World War II Lviv, the largest city of Western Ukraine. Offering a case study of one public dining enterprise this paper explores changes in the post-war Soviet public dining; demonstrates how that enterprise’s institutional structure mediated economic demands, ideological directives, and social conflicts. It argues that the Soviet enterprise should be seen as a nexus between economic system, organization structure of the Soviet state, and everyday lives of Soviet people. The article helps to understand Soviet consumerist practices in the sphere of public dining by looking into complex, hierarchical organizations enabling them.

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 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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.891
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.042
GPT teacher head0.320
Teacher spread0.279 · 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 teacher head, not a consensus.

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

Citations0
Published2017
Admission routes1
Has abstractyes

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