Fatal poison in chicken meat. The death of Dmitry Shemyaka and the end of the Muscovite-Galician wars of the second quarter of the XV century
Bibliographic record
Abstract
Московский педагогический государственный университет, 119435 г.Москва, Российская Федерация; Российская академия живописи, ваяния и зодчества Ильи Глазунова, 101000 г.Москва, Российская Федерация; Московский государственный технический университет им.Н.Э.Баумана (национальный исследовательский университет), 105005 г.Москва, Российская Федерация Роковой яд «в куряти».Смерть Дмитрия Шемяки и окончание московско-галичских войн второй четверти XV в.Целью исследования является уточнение обстоятельств смерти князя Дмитрия Шемяки.В 1453 г. он был устранен по приказу московского государя Василия Темного (его двоюродного брата и конкурента в борьбе за великокняжеский престол).Актуальность темы: особенности политической борьбы в эпоху феодализма.Впервые в науке замысел этого убийства связывается с отравлением литовского князя Михаила Сигизмундовича, жившего в Москве и в 1452 г. ликвидированного там, видимо, агентами польско-литовского короля Казимира IV.Смерть последнего претенден
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".