Reconstructing the past: narratives of Soviet occupation in Ukrainian museums
Bibliographic record
Abstract
This article examines narratives of occupation in portrayals of the Soviet past in Ukrainian museums. The paper analyzes the juridical, historical, and ideological usage of the term “Soviet occupation” in the Ukrainian context to illuminate the political and cultural circumstances that favoured the creation of Ukrainian museums of occupation. A separate section is devoted to the narrative of occupation found in the museums of other post-Soviet countries, in order to distinguish Ukrainian peculiarities. The article focuses on the Museum of Soviet Occupation and the Kyiv Occupation Museum to discuss the institutionalization of the occupation narrative within Ukraine, examining the main memory actors, dominant narratives, and visitors’ experiences in the establishment and further development of such institutions. This research reveals the essentially anti-Soviet and anti-Russian pathos of narratives of occupation in Ukrainian museums, emphasizing the ways in which they reproduce the Soviet style of history telling.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.019 | 0.019 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.003 |
| 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".