Scientific Creativity of P. Sokalskyi: Classic Features and Non-Classical Manifestations
Bibliographic record
Abstract
The purpose of the article is to find the "manifestations of scholarship" in the fundamental work of P. Sokalskyi in the context of the then state of development of scientific knowledge as such, the development of Ukrainian musical science. The research methodology is found in the use of special historical (comparative and historical-typological), epistemological, and generalising methods of analysis. The scientific novelty lies in the fact that for the first time in Ukrainian musicology an attempt was made to analyse the individual scientific achievement of the scientist in the context of the characteristic features of the classical and non-classical periods in the development of science in the last quarter of the nineteenth century. It is substantiated that P. Sokalskyi's research embodies the features of the first period and demonstrates signs of the next — non-classical — stage of its development. At the same time, it has a peculiarly national feature — the focus on the search for the national originality of music, the signs of a national musical style. Conclusions. The analysis of the major study proved that its Author, having materialised the state of Ukrainian musicology in the second half of the nineteenth century, went down in its history as one of the founders of the ideals and norms of scientific thinking, scientific approaches, and objective research methods. It also outlined specific promising areas of further research interests.Key words: history of Ukrainian musicology, classical and non-classical manifestations, individual scientific creativity.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".