Dismissal of Ex-Officers during the Purges of Soviet Institutions 1928–1929 (On the Example of the District Financial Departments of Siberia)
Bibliographic record
Abstract
In the current quarter of a century, Russian scientists in their writings increasingly began to turn to understanding the various socio-political consequences of the Civil War that took place in early Soviet society.The key figures in those socio-political processes of the 1920s often became representatives of the officers, who were part of the intellectual elite of society due to the rather high educational qualification by the standards of the time.The demand for representatives of this category of society in the USSR, as in specialists, was sometimes extremely high.At the same time, already in the 1920s ex-officers (regardless of their ideological views) have fully experienced numerous political harassment.A vivid example of this was the sphere of labor relations and the closely related issue of personnel purges.In this regard, this article, using the regional example of the district financial departments of Siberia, analyzes a very contradictory situation that took place in connection with the dismissals of ex-officers in the period from the autumn of 1928 to the summer of 1929.Based on familiarization with the developments of historiography, this aspect fell out of the field the point of view of historians.The study is based on a complex of unpublished sources from the funds of the State Archive of the Novosibirsk Region.The article is addressed to a wide range of specialists studying the early Soviet society, in particular, the practice of social adaptation (including the position of former officers), the organization of intellectual labor (on the example of financial authorities), Soviet repressive policies (including personnel purges), and also Siberian local history.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".