Шевченкіана у світі: образ поета в станковому живописі й графіці другої половини ХХ століття з колекції Національного музею Тараса Шевченка
Bibliographic record
Abstract
This article analyzes the distinctive features of Shevchenkiana in visual art, specifically easel painting and graphic art by foreign artists from the second half of the 20th century, held in the collection of the Taras Shevchenko National Museum. The study focuses on works by members of the Ukrainian diaspora as well as artists representing the cultures of other nations. A particular layer of Shevchenkiana is highlighted—the graphic works of Ukrainians in Kazakhstan, created under the socio-historical conditions of the Soviet Union. These works, mostly illustrating episodes from the poet’s biography—particularly his exile—reflect a deeply personal, associative reading of Shevchenko’s fate, as the artists themselves (Valentyn Antoshchenko-Oleniev, Serhii Kukuruza) experienced arrest, repression, and rehabilitation. The article also examines works by diaspora Ukrainians such as William Kurelek, whose life was marked by the dramatic experience of separation from his homeland. It is noted that artists representing other cultures, such as Sicilian painter Lella Musmeci, interpret the poet’s image by revealing the universal meanings of his poetry. The most common types of Shevchenko’s portrayal used by foreign artists in their interpretations are based on his photographic portraits by Johan Nikolai Doss (1858) and Ivan Hudovsky (1859), as well as the poet’s self-portraits. Notably, the works of Canadian-Ukrainian W. Kurelek and Sicilian artist L. Musmeci marked a new stage in the development of visual Shevchenkiana— one in which the poet’s image is interpreted as a spirit, energy, or thought-form, with artists finding appropriate visual expression for these abstract ideas.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 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".