Regional Nationalism and Soviet Anxieties during the Great Terror in Ukraine: The Case of Mykhailo Bykovets'
Bibliographic record
Abstract
Abstract: This study examines Soviet nationalities policies and the elimination of Ukrainian intellectuals during the Great Terror in Ukraine by exploring the individual history of the Ukrainian literary figure Mykhailo Bykovets', one of the founders of the literary association “Pluh” (Plough) and one of the initiators of the Literary Discussion that emerged in the mid-twenties. The research explores the modus operandi of a key Soviet institution, the GPU/NKVD, and its proactive methods of the de-nationalization of Ukrainian society. Bykovets’s criminal case seems to be axiomatic of the Great Terror, exhibiting common patterns of the secret organs’ procedural and investigative tactics. Through an analysis of Bykovets’s archival file, and the themes and questions that were central to the investigation of Bykovets’s “crimes,” the study illuminates the persistent national vector of repression against the representatives of the Ukrainian intelligentsia during the Great Terror. Keywords: The Great Terror, Secret Police, Kharkiv, Ukrainian Intellectuals, Mykhailo Bykovets'
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.011 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 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".