Fenomen Ołeksandra Koszyca w ujęciu warszawskiej ukrainistki: Ołeksandr Koszyc i jego dziennik „Z pieśnią przez świat”, red. Walentyna Sobol, Wydawnictwa Uniwersytetu Warszawskiego, Warszawa 2018, 394 ss.
Bibliographic record
Abstract
In the review article, the author writes about Walentyna Sobol’s book Oleksandr Kositz and his diary “With a song around the world”. Prof. Sobol prepared a Polish edition of Oleksandr Kositz’s diary, published for the first time in Canada in the 1950s and then in the 1970s after the death of this composer, writer, and ethnographer, providing it with an introduction, comprehensive footnotes, an extensive bibliography, and an unknown iconographic material – she has, therefore, carried out work far exceeding the scope of the duties of a scientific editor, which is the role she is performing here. This pioneering, in our country, publication, which will surely interest researchers in culture studies, musicologists, literary scholars, as well as ordinary readers who like to listen to Ukrainian songs, was preceded by a research stay in the archives of Oleksandr and Tetiana Kositz at the Ukrainian Cultural and Educational Centere in Winnipeg (Canada), where Oleksandr Kositz (1875–1944) spent the last years of his life and Professor Sobol – in 2015 – several months of her scientific internship.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".