TETIANA BOROVYK’S STAGE PERFORMANCE IN THE CONTEXT OF THE DEVELOPMENT OF UKRAINIAN BALLET IN THE LAST QUARTER OF THE 20TH AND THE BEGINNING OF THE 21ST CENTURY
Bibliographic record
Abstract
The purpose of the article is to analyze T. Borovyk’s creative work and define the main stages of her creative path on the stage of Taras Shevchenko National Opera and Ballet Theater of Ukraine (now the National Opera of Ukraine); to identify the characteristic features of the performing style of the ballerina. The research methodology consisted in the use of the following culturological methods of research: general-historical, comparative-historical, analytical, biographical, etc. The scientific novelty of the work lies in the publication of art critical analysis of T.Borovyk’s creative heritage from the standpoint of modern ballet studies. Conclusions. T.Borovyk’s ballet repertoire consisted of more than 20 ballet parties, as well as numerous concert numbers staged by national (V. Kovtun, A. Shekera, H. Maiorov, V. Fedotov) and foreign (D. Balanchin, R. Petit, O. Ratmansky, O. Vinogradov , E. Frey) choreographers. Among the characteristic features of T.Borovyk’s performing style were technical virtuosity (lightness in performing jumps and swiftness of rotations), elegance of lines in poses and arabesques, as well as bright acting expression. The fine manner of the ballerina was distinguished by the penetrating lyricism and deep understanding of dramatic acting.
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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 | 0.004 | 0.005 |
| Scholarly communication | 0.004 | 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".