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CHARACTERISTICS OF VISUAL ART IN UKRAINIAN CULTURE IN THE FIRST QUARTER OF THE 21st CENTURY

2025· article· uk· W7117741728 on OpenAlexaboutno aff

Bibliographic record

VenueContemporary Art · 2025
Typearticle
Languageuk
FieldComputer Science
TopicDigital Media and Visual Art
Canadian institutionsnot available
Fundersnot available
KeywordsUkrainianQuarter (Canadian coin)The artsVisual cultureCultural heritageContemporary artArt world

Abstract

fetched live from OpenAlex

This study examines artistic imagery in Ukrainian fine arts in the first quarter of the 21st century. It outlines the main directions in the development of visual art within the contemporary cultural process. The research employs philosophical, historical, cultural, and art-historical methods, supported by structural and systemic approaches, to ensure scholarly novelty. Artistic processes of the past twenty-five years have been shaped by the cultural achievements and heritage of the late twentieth century. Much of Ukraine’s artistic development in the 21st century is rooted in earlier historical transformations. The author sup-ports the view of art critic Halyna Sklyarenko, who argues that Ukrainian art of the second half of the twentieth century—from the “Thaw” to independence—occupies a distinctive place in global art history, having developed according to a unique and incomparable tra-jectory. Ukrainian art and cultural studies still lack sufficient research that would fully reflect the specific artistic and stylistic features of Ukrainian fine arts in the early 21st century. To date, the artistic processes of this period, as well as the interaction between visual art and society, have not been comprehensively systematized. It is important to emphasize that the last twenty-five years have witnessed a signifi-cant transformation of the artistic language, enriched by influences from related fields of knowledge. This has provided scholars with new tools for understanding the role and sig-nificance of visual art within broader cultural development. At present, reassessing the ar-tistic output created in Ukraine over the past quarter century has acquired particular ur-gency. This reassessment enables a deeper understanding of the evolving figurative struc-tures and conceptual approaches that define contemporary Ukrainian visual art. The study of the factors influencing this cultural development remains ongoing.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.617
Threshold uncertainty score0.674

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.017
GPT teacher head0.266
Teacher spread0.249 · 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
Published2025
Admission routes1
Has abstractyes

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