Vasyl Avramenko's Creative Heritage in Context Folk Choreography of the XXI Century
Bibliographic record
Abstract
The study is devoted to the preservation and reconstruction of the author's choreography at the present stage of development of performing arts. On the example of the creative heritage of the leading Ukrainian choreographer, the founder of the national stage folk dance Vasyl Avramenko, an attempt was made to analyze the peculiarities of modern choreographers' treatment of famous Ukrainian folk stage dances of the first half of the twentieth century.The study found that: in the process of working on folk-stage dance or dance composition, the author of the choreographic text of which is V. Avramenko, it becomes important to focus on artistic qualities that defined V. Avramenko's productions, in particular, emotional tension and the desire to reflect human characters. the context of the historical period, the choreographic poeticization of the figurative side of national patriotism, the use of dramatization as the dominant means, etc .; appeal to V. Avramenko's choreographic heritage of modern choreographers promotes the expression of ethnic identity; the most expedient strategies for processing folk-stage dance or choreographic composition, the author of the choreographic text of which is V. Avramenko, it is expedient to consider the reproduction of the author's production and adaptation to the level of technical training of dancers
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".