Soviet Use of Corruption Purges as a Control Mechanism: The Uzbekistan Case
Bibliographic record
Abstract
ABSTRACT: In a series of purges between 1982 and 1988, the Soviet government sacked many of the Uzbekistan Communist Party's elite and replaced them with people of unquestionable loyalty to the Kremlin. These purges, which were justified by charges of widespread corruption in the Uzbek Party, have been widely interpreted as indicating a profound change in the policies of the Soviet government, initiated by Yuri Andropov and continued by Mikhail Gorbachev. This essay argues that purges of the type carried out in Uzbekistan were a standard feature of the Kremlin's policy under Brezhnev, and that the first symptom of the Uzbekistan purges manifested themselves well before 1982. The purges should be seen, therefore, as evidence of continuity between the nationalities policies of Brezhnev and his successors, rather than evidence of a changed policy.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.018 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".