Curating Russia: The Shchukin Collection, Nationalism, and Border Crossing from Lenin to Putin
Bibliographic record
Abstract
Russia’s relationship with nation is marred by contradictions that stem from its place in comparison to the West. Cultural nationalism in artistic production originated with the arrival of the Peredvizhniki [Wanderers] in the 1870s. Moscow merchant Pavel Tretyakov, in collecting Russian and European art, openly embraced a nation that encompassed Western ideas in conjunction with distinctly Russian themes. The unparalleled collecting of French modern art by Moscow merchants Sergei Shchukin and Ivan Morozov in the early 20th century continued this embrace. The nature of their collected paintings produced shockwaves in late tsarist and Soviet society and politics before being inculcated into Russian national identity in the 21st century. This article explores the life of Henri Matisse’s The Dance (1909), commissioned by Sergei Shchukin. It follows the work across time and regimes as it assumes pride of place in not only Russia’s national collections but also within its identity. Through a focus on the 2008 exhibition From Russia at the Royal Academy of Arts in London, this article examines Russia’s relations and protection of this work to understand, why even as the country seeks to define itself once more actively through its opposition to the West, their cultural diplomacy speaks to an openness built on a transnational history of the most prized works in their national collections.
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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 | 0.010 | 0.010 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.006 |
| 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".