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Folklore-Jazz Direction in the Competition-Festival Movement of Accordion-Bayan Art of the First Quarter of the XXI Century

2024· article· en· W4402517008 on OpenAlexaboutno aff
Volodymyr Hodlevskyy

Bibliographic record

VenueNational Academy of Managerial Staff of Culture and Arts Herald · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Culture and Media Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAccordionJazzFolkloreQuarter (Canadian coin)Movement (music)ArtArt historyCompetition (biology)Visual artsHistoryAestheticsLiteratureArchaeology

Abstract

fetched live from OpenAlex

The purpose of the work is to investigate the dynamics of the folklore-jazz direction in the competition-festival movement of the accordion-fabulist art of the first quarter of the 21st century and to determine promising ways of development of folklore and jazz in modern musical content. The research methodology is based on the use of musicological, comparative, chronological and systematic methods, which allowed to analyse the cultural and artistic trajectories of the folklore-jazz direction in the competitions and festivals of accordion and legend art of the first quarter of the 21st century. Scientific novelty. For the first time, a scientific investigation of the competition-festival movement was carried out on its own practical example, namely participation in international competitions and festivals of the first quarter of the 21st century. The importance of the artistic content of the competition-festival environment on the performing and composing creativity of the participants of the artistic Olympia is considered. New, relevant ideas are offered to expand the creative horizons of performance and composition skills in mixing and synthesising folklore and jazz. Conclusions. The global perception of the folk-jazz direction in the competition-festival movement of the accordion-fabulous art of the first quarter of the 21st century emphasises our opinion that the huge spectrum of musical diversity allows to find new creative solutions, to make modern interpretive explorations of different styles through the creation of author's content, the introduction of revolutionary modern stylistic innovations in arranging and harmonising, experimenting and combining the latest conceptual solutions in improving the instrumentation and introducing new technical quality standards in the manufacture and updating of instruments.

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)0.000
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: Empirical
Teacher disagreement score0.805
Threshold uncertainty score0.181

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.013
GPT teacher head0.276
Teacher spread0.263 · 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
Published2024
Admission routes1
Has abstractyes

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