К вопросу о реконструкции комплекса жалованных грамот XVII В. Большому Тихвинскому Успенскому монастырю
Bibliographic record
Abstract
Based on the study of the monastery`s letters patent and inventories of property, the article aims to restore the letters patent of the 17th century for landed property of the Tikhvin Uspensky monastery in Novgorod uyezd. Restoring letters patent helps to study the archive of the monastery because record keeping of landed property determined the structure of the archive. These legal documents may be divided into three groups: 1) letters patent of the second half of XVI — the first quarter of the XVII century, incorporating information about landed property acquired in 1613/14 years; 2) letters patent for the land in Nikolaevsk Shungsky and other church yards; 3) letters patent for fishing. Analysis of the materials showed that a significant number of the letters patent of the XV — the first quarter of the XVII century failed to be preserved. The letters patent were not recorded in the inventories of property and their texts are not presented in monastery registers. Based on the data from the preserved documents, we can trace the history of individual land grants to the monastery and their recorded evidences up to the end of the 17th century.
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How this classification was reachedexpand
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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.005 | 0.005 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.008 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.059 | 0.077 |
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; both teacher heads agree on what is shown here.
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".