Image of Ukraine in the Works of Western Artists (Kyiv Murals)
Bibliographic record
Abstract
The article addresses the classification of Kyiv murals of the early 21st century, made by foreign artists (USA, Canada, France, United Kingdom, Belgium, Australia, Spain, Portugal, Argentina, Brazil, Costa Rica, South Africa, etc.). The image of Ukraine in the work of these artists, who got to know Ukraine forcedly, episodically, and inevitably scarcely, isthe image of the Other on the territory of this Other. As a result, “others” (foreign artists) overcome their own otherness and enter into cultural dialogue with other culture and the city, the notable part of which their murals become. Along with animalistic motifs (mainly ornithological), this area is dominated by the archetypal images of Ukrainian history and culture, bizarrely supplemented by their own reminiscences and additions (mural Berehynia). However, signs of simulacrum is not the case. It is rather a carnival fantasy that traces the influence of Baroque culture, which has deep roots in Ukraine. There are precedents of collaboration with Ukrainian authors (mural Vidrodzhennia (Renaissance) by Julien Malland and Oleksii Kyslov). Occasionally, foreign artists use only certain attributes of local life (embroidery pattern), directly reflect on the impressions of the present, transplanting them into the European context (mural Night Kyiv). Also from time to time they turn to real characters of national history and culture (Serhii Nigoian, Lesia Ukrainka, in the latter case Guido van Helten boldly reformed the established image iconography of the “daughter of Prometheus”, giving his heroine the features of a modern feminist), as well as sports (gymnast Hanna Rizatdinova). It was concluded that there is a long-term cultural dialogue between the West and Ukraine, with the first party presenting maximum interest and tolerance.
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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 | 0.001 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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".