Zabelin’s Set: The Early Unknown Cluster of the Old Ruthenian Biblical Translations from Hebrew Sources (by the Manuscript from the 17th Century)
Bibliographic record
Abstract
The paper presents and publishes the cluster of the early unknown Biblical texts translated from Hebrew sources into Old Ruthenian, which was found by the author in the Miscellany No. 436 in the Collection of Ivan Zabelin, the second quarter of the 17th century, deposited in the State Historical Museum, Moscow. The Miscellany contains scholia on the Song of Songs, fragments Num 24:2–25, 23:18–19, Isaiah 10:32–12:4, and Proverbs 8:11–31. Zabelin’s Set has a textual connection to the translations of the Vilna Biblical Collection, the Museum copy of the Church Slavonic Song of Songs, and the Cyrillic Hebrew Manual, the second copy of which – also early unknown – comes before the Set. The author hypothesizes that Zabelin’s Set belongs to the activities of the late medieval East Slavic Christian Hebraists.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".