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Record W3113706896 · doi:10.2478/jef-2020-0015

The Development of Bandura Music Art Between the 1920s and 1940s

2020· article· en· W3113706896 on OpenAlexaboutno aff
Maryna Berezutska

Bibliographic record

VenueJournal of Ethnology and Folkloristics · 2020
Typearticle
Languageen
FieldComputer Science
TopicDigital Media and Visual Art
Canadian institutionsnot available
Fundersnot available
KeywordsUkrainianPolitical scienceEmigrationCommunismSociologyLaw

Abstract

fetched live from OpenAlex

Abstract Bandura art is a unique phenomenon of Ukrainian culture, inextricably linked with the history of the Ukrainian people. The study is dedicated to one of the most tragic periods in the history of bandura art, that of the 1920s–1940s, during which the Bolsheviks were creating, expanding and strengthening the Soviet Union. Art in a multinational state at this time was supposed to be national by form and socialist by content in accordance with the concept of Bolshevik cultural policy; it also had to serve Soviet propaganda. Bandura art has always been national by its content, and professional by its form, so conflict was inevitable. The Bolsheviks embodied their cultural policy through administrative and power methods: they created numerous bandurist ensembles and imposed a repertoire that glorified the Communist Party and the Soviet system. As a result, the development of bandura art stagnated significantly, although it did not die completely. At the same time, in the post-war years this policy provoked the emigration of many professional bandurists to the USA and Canada, thus promoting the active spread of bandura art in the Ukrainian Diaspora.

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: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.002
Science and technology studies0.0040.005
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0010.001
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 head0.051
GPT teacher head0.270
Teacher spread0.219 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

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