THE KOLYVAN FACTORIES IN THE POLICY OF THE KUZNETSK VOIVODES IN THE SECOND QUARTER OF THE XVIII CENTURY
Bibliographic record
Abstract
The article is devoted to the identification and analysis of the areas of interaction between the Kuznetsk voivodes (governors) and proprietary estate managers of the A. N. Demidov’s Kolyvan factories in the second quarter of the XVIII century. The research is based on unpublished documents from the funds of the Russian State Archive of Ancient Acts. The article features the reaction of the district administrators to the establishment and dynamics of the security system at copper smelteries in the interstream area between the Ob and the Irtysh. The system contradictions between the interests of civil authorities and A. N. Demidov’s managers are demonstrated by the example of the use of state-owned salt, as well as by the amenability of crimes. The resulting collisions and conflicts are considered as a consequence of the unregulated procedure of the relationship of the relevant administrative subject in lawmaking and administration. The author casts doubt on the popular opinion that there was no competition between the state and the proprietary basics in the development of the Upper Ob-Irtysh area. The author comes to a conclusion about the permanent aspiration of the Kuznetsk voivodes to expand their administrative influence on the estate managers of the Kolyvan-Voskresensky department.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 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".