Sopilka Repertoire in Ukraine Mid-XX – First Quarter of XXI Century: Features of Development and Functioning
Bibliographic record
Abstract
The purpose of the article is to investigate the peculiarities of the development and functioning of the sopilka repertoire in Ukraine from the mid-20th to the first quarter of the 21st century. Research Methodology. The study employs analytical, historical, cultural, and systematic methods of scientific analysis, as well as methods of comparative analysis and synthesis, and the method of scientific generalisation. These methods were used to reveal various aspects and determine the peculiarities of the development and functioning of the sopilka repertoire in Ukraine from the mid-20th to the first quarter of the 21st century. The scientific novelty lies in the disclosure of historical, social, and cultural aspects of sopilka art, its development, functioning, and the determination of the peculiarities of the sopilka repertoire in Ukraine from the mid-20th to the first quarter of the 21st century. The theory and practice of performing on the sopilka in the context of Ukrainian musical culture of this period are analysed and highlighted. The peculiarities of regional traditions of sopilka music are revealed, and their influence on the modern sopilka repertoire is disclosed. Promising measures for the preservation, development, and functioning of the sopilka repertoire are outlined. Conclusions. The sopilka repertoire is an important part of the musical culture of Ukraine, reflecting the centuries-old history and modern trends of Ukrainian musical culture from the mid-20th to the first quarter of the 21st century. The unique timbral characteristics of the sopilka, the diversity of folklore sources, regional peculiarities, and the influence of modern professional music create a wide and multifaceted sopilka repertoire. This repertoire preserves the national cultural heritage and opens up new opportunities for the development and functioning of sopilka art in Ukraine from the mid-20th to the first quarter of the 21st century. This process should integrate musicological, folkloristic research, cultural studies, and aesthetic artistic practice, allowing the authenticity of the instrument to be maintained without dissolving its national identity in the context of globalisation processes of our time.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".