INTERACTION OF THE VLADIMIR GOVERNORS AND LAW ENFORCEMENT AGENCIES IN THE LAST QUARTER OF THE XIX – BEGINNING OF THE XX CENTURIES
Bibliographic record
Abstract
Background. In the last quarter of the 19th – early 20th century. in the Russian Empire, there was an intensification of the revolutionary and strike movement, as well as the growth of state opposition. To restore order and ensure control, the governors of the regions, including the Vladimir province, were given broader powers in the field of interaction with law enforcement agencies. New structures were created to fight the opposition: the factory police, a network of agents, and others. The article analyzes the effectiveness of interaction between governors and law enforcement agencies, reveals the personnel policy of the provincial government. The purpose of the article is to study the effectiveness of interaction between the Vladimir governors and law enforcement agencies in the last quarter of the 19th – early 20th centuries. Materials and methods. The materials for the study were official documents of the State Archives of the Vladimir Region, the State Archives of the Ivanovo Region and the State Archives of the Russian Federation. The methodological basis of this study is the principles of historicism and consistency, implemented thanks to the problem-chronological, historical-genetic and analytical methods. Results. The article discusses the interaction of the governors of the Vladimir province with law enforcement agencies in problem situations. During the period of growing opposition sentiments, the governors comprehensively resorted to the functions of law enforcement agencies. At the end of XIX – beginning of XX century it was planned to soften the course of the governors in relation to the opposition, they avoided direct intervention. The governors were interested in the protection of law and order in the region. The peculiarity of the work of the provincial government with the personnel of law enforcement agencies is given. Conclusion. The results of the study can be applied in a regional study of similar “internal” provinces of the Russian Empire on this issue, also for the preparation of manuals and lectures on the relationship of governors and law enforcement agencies.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".