Publications of the Taras Shevchenko Scientific Society as Historical Sources of Research on the Book Heritage of Ukraine
Bibliographic record
Abstract
Objective. The purpose of the article is to study the history of the multidisciplinary publishing business of the fundamental Ukrainian organization of the 19th century – the Taras Shevchenko Scientific Society. The object is the scientific book heritage of the Society for 150 years, which is a powerful potential of the educational process and patriotic education of young people. Methods. In accordance with the tasks set, analytical and synthetic, systemic and structural, comparative and statistical methods of scientific research are developed and used. This article analyses the collections of rare and valuable editions of the scientific library of the Oles Honchar Dnipro National University (DNU), namely, the collection of publications of the second half of the 19th and early 20th centuries of the Shevchenko Scientific Society. Results. The research analyzes the entire collection of scientific works of the Scientific Society of the 19th and early 21st centuries, which is kept in the Oles Honchar Dnipro National University library. The editions of the 19th and early 20th centuries and a book collection of the Canadian branch of the National Academy of Sciences of the second half of the 20th century are valuable in terms of content. Special attention is paid to the study of sources on the history of Ukraine as records of the national book heritage. A selection of modern publications of the Society by subject is highlighted. Conclusions. One of the important activities of a scientific library is the disclosure and dissemination of information space regarding its collections. The book Heritage of the Taras Shevchenko Scientific Society is a unique primary source for studying the history of the formation of the national identity of Ukrainians.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.011 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".