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Record W3123860408 · doi:10.2298/balc1748343s

Elena Ceauşescu’s personality cult and Romanian television

2017· article· en· W3123860408 on OpenAlexfundno aff
Annemarie Sorescu-Marinković

Bibliographic record

VenueBalcanica · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicEastern European Communism and Reforms
Canadian institutionsnot available
FundersMinistarstvo Prosvete, Nauke i Tehnološkog RazvojaAgence Universitaire de la Francophonie
KeywordsCultRomanianCommunismPersonalityState (computer science)Presidential systemSociologyPolitical scienceHistoryLawPsychologyPsychoanalysisPoliticsPhilosophyComputer science

Abstract

fetched live from OpenAlex

Elena Ceau?escu, spouse of the Romanian communist leader Nicolae Ceau?escu, generated in the 1980s a gigantic homage industry, as she was the object of a personality cult as strong as that of her husband?s. This paper briefly outlines the origin and elements of Nicolae Ceau?escu?s personality cult, to focus then on Elena Ceau?escu?s cult: how at first it was merged with the cult of her husband, her being a mere companion of the head of state, and then grew to the point of paralleling that of Nicolae Ceau?escu during the last years of communist rule in Romania. The second part focuses on the evolution of Romanian state television and its crucial role in the diffusion of her personality cult, showing how this state institution became completely subordinated to the presidential couple in the 1980s, and pointing to a paradox of the period: the shorter Romanian television?s daily broadcasting time, the larger the amount of programming on Ceau?escu. Finally, the paper shows how January was infused with anniversary dates meant to consolidate the personality cult of the presidential couple and to reinvent communist traditions.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.036
GPT teacher head0.331
Teacher spread0.294 · 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

Citations3
Published2017
Admission routes1
Has abstractyes

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