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Language, Class, and Nation in a Soviet Ukrainian Blockbuster Comedy:<i>Chasing Two Hares</i>(1961)

2014· article· en· W2091114600 on OpenAlexvenueno aff
Olga Pressitch

Bibliographic record

VenueCanadian Slavonic Papers · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSoviet and Russian History
Canadian institutionsnot available
Fundersnot available
KeywordsComedyUkrainianFolkloreLiteraturePeriod (music)Soviet unionMovie theaterRussian languageRussian literatureSubject (documents)ArtHistoryLinguisticsAestheticsPolitical scienceLawPhilosophy

Abstract

fetched live from OpenAlex

The subject of this article is one of the most popular comedy films of the late Soviet period, Za dvoma zaitsiamy [Chasing Two Hares]. Made at the Kyiv Film Studio in 1961, it was originally a Ukrainian-language film based on Mykhailo Staryts'kyi’s eponymous 1883 play that satirized pretentious upstarts eager to assimilate into Russian culture. However, the completed film was dubbed into Russian and released throughout the Soviet Union in the Russian version. The change of language reversed the meaning of the film’s satire, turning the movie into a harmless folkloric comedy that reinforced imperial cultural hierarchies rather than undermining 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 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 score0.950
Threshold uncertainty score0.783

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 studies0.0000.000
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 head0.012
GPT teacher head0.259
Teacher spread0.247 · 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.

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
Published2014
Admission routes1
Has abstractyes

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