Bibliographic record
Abstract
Андрей Сергеевич Десницкий — пожалуй, самый известный современный отечественный библеист, автор более десятка монографий и большого количества (более пятидесяти) статей по Священному Писанию Ветхого и Нового Завета, работающий в этой области уже более четверти века. Его новая книга, изданная в текущем году, состоит в своей основе из более ранних лекций и публикаций: в книгу вошли статьи, опубликованные в 2019–2020 гг. в журнале «Ориенталистика» (список статей сам автор приводит на с. 10). Andrei Sergeevich Desnitsky is perhaps the best known contemporary Russian biblical scholar, author of over a dozen monographs and a large number (over fifty) of articles on the Scriptures of the Old and New Testaments, working in this field for over a quarter of a century. His new book, published this year, consists in its basis of earlier lectures and publications: the book includes articles published in 2019-2020 in the journal Orientalism (the author himself provides a list of articles on p. 10).
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.048 | 0.018 |
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".