The social portrait of the voevods of the Kungur Uyezd in Kazan Governorate from 1728 to 1737
Bibliographic record
Abstract
The research aims to reconstruct the social portrait of the voevods of the Kungur Uyezd in 1728-1737. The scientific novelty of the work lies both in the introduction of new historical sources into scientific use and in the summarization and systematic presentation of data that made it possible to reconstruct the social portrait of a regional administrator in Russia after the death of Peter the Great. The work was carried out within the framework of the methods and approaches of the history of administration and personal history. It was based on historical-comparative and biographical methods, as well as methods of source studies. The result of the study was generalized data on the social origin, experience in military and civil service, average age, and literacy level of the voevods of the Kungur Uyezd who held this position in 1728-1737. In the course of studying sources and historiography, it was concluded that the formation of the career path of a significant part of the voevods of the Kungur Uyezd occurred at the end of the 17th – first quarter of the 18th century, reproducing the management models that developed during the reign of the first Russian emperor.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".