Berehova O. (2023). The creativity of composer Halyna Ovcharenko in the Ukrainian-European Dialogue of Cultures. Musikgeschichte in Mittel- und Osteuropa. Mitteilungen der Internationalen Arbeitsgemeinschaft an der Universitat Leipzig. Heft 25. Leipzig: Gudrun Schroder Verlag, p.35-46. ISBN 978-3-926196-90-3
Bibliographic record
Abstract
To date, there are many gaps in the study of Ukrainian musical culture in a holistic compendium of all its components, including the work of representatives of both mainland Ukraine and the Ukrainian diaspora. Researching the works of Ukrainian composers who lived and worked in different regions of Ukraine, as well as those who emigrated to other countries for various reasons, opens up new pages of cultural interactions, enriches our understanding of the contribution of artists who identified themselves with Ukraine to the treasury of European and world musical culture. We can state the discovery and involvement of many little-known and undeservedly forgotten names of prominent composers of the Ukrain-ian diaspora in the music and concert practice of recent decades, including Fedir Yakymenko (France), Marian Cousin (France), Stefania Turkevych-Lukiyano-vych (UK), Antin Rudnytsky (USA), Roman Prydatkevych (USA), Yuri Fiala (Canada), and many others.Ukrainian composer Halyna Ovcharenko (*1963) belongs to the community of artists who are currently successfully representing Ukraine in Europe. She has significant creative achievements that have been repeatedly recognized both in Ukraine and abroad. However, the work of this talented composer has not yet become the subject of musicological research, which is why the proposed article is relevant.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 0.012 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".