Crossing Ethnic Barriers Enforced by the KGB: Kharkiv Writers' Lives in the 1960s-70s
Bibliographic record
Abstract
This study analyzes the foundations of unity developed by the Kharkiv multi-ethnic community of writers, and explores post-Khrushchev Kharkiv as a political space and a place of state violence aimed at combating Ukrainian nationalism and Zionism, two major targets in the 1960s-70s. Despite their various cultural and social backgrounds, the Kharkiv literati might be identified as a distinct bohemian group possessing shared aesthetic and political values that emerged as the result of de-Stalinization under Khrushchev. Archival documents, diaries, and memoirs suggest that the 1960s-70s was a period of intense covert KGB operations and “active measures” designed to disrupt a community of intellectuals and to fragment friendships, bonds, and support among Ukrainians, Russians, and Jews along ethnic lines. The history of the literati residing in Kharkiv in the 1960s-70s, their formal and informal practices and rituals, and their strategies of coping with state antisemitism, anti-Ukrainianism, terror, and waves of repression demonstrate that the immutability of ethnic barriers, often attributed to Ukrainian-Russian-Jewish encounters and systematically reinforced by the KGB, seems to be a myth and a stereotype. The writers negated them, escaping from and at the same time augmenting the politics of the place. Their spatial and social practices and habits helped them create a cohesive community grounded in shared history, shared interests in literature and dedication to it, and shared threats emanating from city politics and the KGB. They transcended ethnic boundaries constructed by the authorities, striving for unity, free from Soviet definitions.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.012 | 0.008 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.005 |
| 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".