«АЩЕ ГОНЯТ ВАС ИЗ ГРАДА, И ВЫ БѢЖЕТЕ ВО ИН ГРАДЪ»: ОБ ОДНОЙ МЕСЯЦЕСЛОВНОЙ ВЕРСИИ БИОГРАФИИ СТЕФАНА ПЕРМСКОГО
Bibliographic record
Abstract
Помимо Жития Стефана Пермского и летописей, которые дают материал для исторически достоверной биографии святителя, в русской книжности встречаются и другие версии, иначе показывающие его жизненный путь. Свободное обращение с историческим материалом характерно, в частности, для Святцев с летописью, распространяющихся с первой четверти XVII в. В таких сборниках встречаются разные виды статьи о Стефане Пермском. Одна из ранних месяцесловных статей, основанная, по-видимому, на трех летописных источниках, предлагает интересную версию об уходе Стефана из Перми от нападок язычников, противоречащую традиционной биографии святителя и сводящую на нет его апостольское служение. In addition to the Life of St. Stephen of Perm and the chronicles, which serve as a base for a historically reliable biography of the saint, there are other versions in Russian literature that show his life path differently. The free handling of historical material is typical, in particular, for Menologion with a chronicle, which have been spreading since the first quarter of the 17th century. In such collections there are different types of articles about St. Stephen of Perm. One of the early monthly articles, based, apparently, on three chronicle sources, offers an interesting version about Stephen’s departure from Perm from the attacks of the pagans, contradicting the traditional biography of the saint and negating his apostolic ministry.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.022 |
| Scholarly communication | 0.015 | 0.010 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.014 | 0.004 |
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".