Шевченкіана в книжкових колекціях наукової бібліотеки ОНУ: іменні фонди М. В. Терещенка, Б. О. Лупанова, Ф. Є. Петруня
Bibliographic record
Abstract
The article is dedicated to 200th anniversary of birth of the great Ukrainian poet, writer, artist and thinker T. H. Shevchenko. The purpose of the paper is to study Shevchenkiana from special collections of the Scientific Library of the Odesa I. I. Mechnikov National University. The author used historical, bibliographical and systematic methods for accumulation of facts, its systematization and theoretical processing. Shevchenkiana of the Rare Books and Manuscripts Department of the Scientific Library of the ONU is represented in M. V. Tereschenko, B. O. Lupanov and F. E. Petrun special collections. Rare and valuable books and article reprints with different thematic focuses belong to these collections. The article deals with: 1) editions of the end 19th century from M. V. Tereschenko special collection; 2) editions of the beginning of 20th century on life and works by the prominent poet from B. O. Lupanov special collection; 3) editions of the first quarter of 20th century from F. E. Petrun special collection which discover relations between Ukrainian writers (T. H. Shevchenko and P. A. Kulish), the history of Shevcheko’s village as well as memories about Kobzar’s exile. University copies of editions contains valuable provenance: stamps, autographs by owners etc. The finding results may be useful for philologists, historians and bibliographers and promote study of history, literature and culture of Ukraine. Analyzed books tell about keen interest of M. V. Tereschenko, B. O. Lupanov and F. E. Pentyn to Ukrainian culture so as T. Shevchenko is its part. University Shevchenkiana from special collections contains important sources for studying personality of T. H. Shevchenko as well as historical, geographical and local lore materials for studying of the Ukrainian literature and history.
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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 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.005 |
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".