The problem of social and anthropological crises in the painting of Vasyl Kurylyk
Bibliographic record
Abstract
The purpose of the article is to solve the problem of social crises and human degradation in the secular paintings of the Canadian-Ukrainian artist William Kurelek (1927-1977) on the example of selected works. Methodology. General scientific and interdisciplinary research methods were used to solve the set tasks: analysis, synthesis, hermeneutic and comparative methods. The method of formal and stylistic analysis made it possible not only to identify the origin of individual works, but also to characterize the artistic processes that took place in the Canadian-Ukrainian environment and which are reflected in the work of W. Kurelek. This methodological approach helps us to characterize the composition of the work (space, time, color, light, composition, perspective). Scientific novelty. For the first time in the context of art discourse, on the example of specific works of the artist, we analyzed the acute social problems that William Kurelek showed in his paintings. Conclusions. The article analyzes the preconditions for the creation of some secular works by William Kurelek, as well as the artistic and stylistic features of his paintings on current social issues. In particular, we analyze the problem of globalization, social crisis and spiritual and ethical degradation of personality. Social issues are divided into: temptation, race, oppression of "inferior", abortion, fear, the routine of the "third world", the contrast of good and evil, justice and betrayal, love and hate, and others.
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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 | 0.014 | 0.025 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".