Investigation of Prince M. P. Gagarin’s Case in Context of Development of State Control System in First Quarter of 18th Century
Bibliographic record
Abstract
The article investigates the activities of Prince Matvey Petrovich Gagarin as the first governor of Siberia. The materials of his investigation case are examined in the context of the development of the state control system over the actions of government authorities during the reign of Peter I. The process of creating legislation and special controlling and judicial bodies aimed at regulating the limits of powers of civil servants, identifying and preventing their violations, is characterized. The study is based on the analysis of legislative sources regulating the organization of new administrative-territorial divisions. A number of documentary sources from the Russian State Archive of Ancient Acts are analyzed, including cases from the Siberian Office, orders from Governor M. P. Gagarin, reports from commanders of Siberian cities, petitions from various individuals, and other materials. It is shown that the organization of investigative measures and the criminal case process against Prince M. P. Gagarin were under the personal control of Peter I. The conclusion is drawn that Prince M. P. Gagarin was an active participant in many reforms initiated by the reformist tsar. At the same time, it is demonstrated that Prince Gagarin’s biography is a vivid example of the collision between the widespread practice of enrichment by aristocratic clans and Peter I’s principles and views on the essence and place of official service in his “regular” police state.
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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 | 0.001 |
| Science and technology studies | 0.010 | 0.006 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 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".