ФРАГМЕНТЫ ЗАПАДНОЕВРОПЕЙСКОГО КЛИНКОВОГО ОРУЖИЯ И ДЕТАЛИ ПОРТУПЕЙ ДЛЯ НОШЕНИЯ ШПАГ И РАПИР ВТОРОЙ ПОЛОВИНЫ XVI - ПЕРВОЙ ЧЕТВЕРТИ XVII В. ИЗ СТАРОЙ ЛАДОГИ
Bibliographic record
Abstract
Статья посвящена находкам фрагментов западноевропейского клинкового колющего и колюще-режущего оружия второй половины XVI - первой четверти XVII в. из раскопок в Старой Ладоге. Эти объекты крайне редки в культурных слоях российских городов. Были рассмотрены семь находок, касающихся фрагментов гард, деталей ножен и металлической гарнитуры, входившей в состав специальных футляров для ношения мечей и рапиры. По археологическим данным и сведениям письменных источников, ладожские находки могут быть связаны с событиями Смутного времени и датируются концом XVI - началом XVII в. The article considers the finds of fragments of the Western European bladed pricking and pricking-cutting weapon of the second half of 16 - the first quarter of the 17 centuries from excavation in the Staraya Ladoga. These objects are extremely rare in the cultural strata of Russian cities. Seven finds relating to the fragments of the guard, the details of the sheath and the metal headset, which was part of the special cases for wearing swords and rapier, were considered. On archaeological supplied and to the information of written sources, the Ladoga finds can be connected with events of the Time of Troubles and are dated the end of 16 - the beginning of the 17 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 | 0.002 |
| Science and technology studies | 0.003 | 0.012 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".