Прусский фактор в отношениях Московского государства, Великого княжества Литовского и Короны Польской (конец XV – первая четверть XVI в.)
Bibliographic record
Abstract
Рассматривается влияние прусского фактора на отношения между Великим княжеством Литовским, Короной Польской и Московским государством в конце XV — первой четверти XVI в. Основное внимание акцентируется на изучении изменений во внешнеполитическом положении Тевтонского ордена после заключения в 1466 г. Второго Торуньского мира. На основании анализа развития дипломатических отношений между Тевтонским орденом, Московским государством, Короной Польской и ВКЛ было установлено, что Орден являлся особым рычагом давления со стороны московского великого князя на польского короля и великого князя литовского и был фактором, который дестабилизировал обстановку в Восточной Европе в первой четверти XVI в. \n This article discusses problem of the influence of the Prussian factor on the relationship between the Grand Duchy of Lithuania, the Polish Kingdom and Grand Duchy of Lithuania at the end of XV — the first quarter of the XVI century. Main focus of work is accented on the study of changes in the foreign policy position of the Teutonic Order after the conclusion in 1466 of the Second Peace of Torn. Based on the analysis of the development of diplomatic relations between the Teutonic Order, the Grand Duchy of Moscow, the Polish Kingdom and the Grand Duchy of Lithuania was found that the Order was the factor that destabilized the situation in Eastern Europe in the first quarter of the XVI century and was a special instrument of pressure from the Grand Prince of Moscow to the Polish King and Grand Duke of Lithuania.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.024 | 0.008 |
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".