Formation of Big Peasant Clans in the Russian North Based on the State Descriptions of the Vazhsky District from 17th to the Early 18th Century
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Bibliographic record
Abstract
Introduction. State descriptions of the northern peasant volosts of Russia demonstrate the features and techniques of business writing, typical for the Russian Middle Ages and early modern times. Methods and materials. The article analyzes scribal and census books for several villages of the volost Kurgomen of the Podvinskaya quarter of the Vazhsky district beyond the middle 17th – first half 18 centuries. On the basis of a microanalysis of peasant genealogies, several family clans of peasants living in neighboring villages were identified, the family surnames of the peasants were investigated. Analysis. The development or extinction of peasant clans, and some features of intra-family relations and the dynamics of population displacement at the village / volost level have been traced. The given data confirm the well-known fact that during the censuses, some of the peasants were hiding from the description. The period of Peter I caused heavy damage to the northern villages. The analyzed material shows that only large family clans were able to preserve themselves and their importance in the parish. Results. The results obtained in the article relate not only to the process of folding the branched peasant clans, which played a significant role in the volost and parish, defending, first of all, their own interests, but also the problems of the reliability of state descriptions.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.004 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it