THE EVERYDAY LIFE OF THE RUSSIAN PROVINCE IN THE ERA OF THE CITY REFORM OF CATHERINE THE GREAT (BASED ON THE MATERIALS OF THE FUNDS OF THE OSTROVSKY CITY MAGISTRATE OF PSKOV PROVINCE)
Bibliographic record
Abstract
To study the era of the city reform of Catherine the Great, as part of the analysis of the everyday life of the provincial society ofPskov province, materials from thefunds of the Ostrovsky city magistrate of the last quarter of the XVIII century were involved, which made it possible to describe the facts of life and activity of representatives of the county town on the basis of the microhistory method, highlighting not only the material side of the issue under study, but also the behavior, emotional experiences and reactions of people to current events. During the study of the province and the materials of the sources, where the description offacts from the life of representatives of the society of the region in the aspect of the history of everyday life was preserved, it was possible to generalize and expand the previously accumulated knowledge about the studied period. The everyday life of the Russian province in the era of the city reform of Catherine the Great in the Pskov province was a complex system of interpenetrating plots, where the appeal to the norms of law was mixed with personal relationships.
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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 | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".