Bibliographic record
Abstract
В ходе раскопок на территории Соловецкого монастыря найдено 5 бердышей. Эти редкие артефакты конкретизируют представления о холодном оружии, находившемся на вооружении защитников Соловецкой крепости. Первое упоминание бердышей в описи оружия монастыря 1632 г. не позволяет их датировать ранее второй четверти ХVII в. Подборка исторических свидетельств о соловецких бердышах дает возможность проследить их судьбу на протяжении трех веков. The excavations carried out within the compound of the Solovetsky monastery revealed five berdishes. These rare artifacts clarify our knowledge of cold steel weapons used by the defenders of the Solovetskaya fortress. The first mentioning of berdishes in the list of monastery weapons compiled in 1632 does not allow us to date them the period earlier than the second quarter of the 17th century. The selection of historical evidence regarding the Solovetsky berdishes gives an insight into their life history stretching over three centuries.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.041 | 0.013 |
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".