MétaCan
Menu
Back to cohort
Record W4389939204 · doi:10.1080/00085006.2023.2271795

“Wounded” in revolution: the postwar intelligentsia and their self-distinction in Czechoslovak cinema (1956–1968)

2023· article· en· W4389939204 on OpenAlexvenueno aff
Barış Ahmet Yörümez

Bibliographic record

VenueCanadian Slavonic Papers · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsnot available
FundersEuropean Commission
KeywordsIntelligentsiaDenunciationCommunismSocialismMovie theaterPolitical scienceWorking classSociologyPolitical economyGender studiesEconomic historyLawPoliticsHistoryArt history

Abstract

fetched live from OpenAlex

This article analyzes the social representations of the critical socialist intelligentsia in five major Czechoslovak films made by Communist filmmakers between 1956 and 1968. These politically transgressive films provide valuable insights into how the reform-minded Communist intelligentsia viewed real socialism and their place in it. The films often portrayed intellectual protagonists stuck and emotionally struggling between careerist Party elites and an insensitive working class in the new socialist reality. Through content and reception analysis of several of the most influential films of the period, the article demonstrates how the critical intelligentsia distinguished themselves not only from Party elites but also from members of the working class in the post-1956 predicament caused by Nikita Khrushchev’s denunciation of Stalin and, by extension, the ruling logic of Communist parties in Eastern Bloc countries.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0050.006
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.022
GPT teacher head0.200
Teacher spread0.179 · 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 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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Slavonic PapersSame topicCinema and Media StudiesFrench-language works237,207