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The problem of social and anthropological crises in the painting of Vasyl Kurylyk

2021· article· en· W3197582294 on OpenAlexaboutno aff
Khrystyna O. Beregovska

Bibliographic record

VenueAlmanac Culture and Contemporaneity · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicDiverse Scientific Research in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsPaintingSociologyUkrainianOppressionContext (archaeology)AestheticsArtLawHistoryPolitical scienceVisual artsPhilosophyPoliticsLinguistics

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.299
Threshold uncertainty score0.476

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.038
GPT teacher head0.305
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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