ДЕКОР ТАРНОЙ КЕРАМИЧЕСКОЙ ПОСУДЫ В ПЕРИОД КАНИШКИ I (ПО МАТЕРИАЛАМ ГОРОДИЩА КАМПЫРТЕПА)
Bibliographic record
Abstract
На Кампыртепа, расположенном на юге Узбекистана, найдено множество артефактов, позволяющих изучать материальную и духовную культуру Бактрии эпохи Кушан. Это высококачественная керамика, терракотовые фигурки, резная кость, художественный металл и т.д. Городище представляет собой крепость на переправе через Окс / Амударью, покинутую не позже времени правления царя царей Канишки I, поэтому находки из верхнего слоя дают четкую хронологическую привязку —вторая четверть IIв. н.э. В статье публикуются материалы, характеризующие декор крупной тарной посуды данного периода, и интересные с точки зрения изучения глиптики и сфрагистики, владельческих знаков и искусства эпохи «Великих Кушан». At Kampyrtepa, located in the south of Uzbekistan, many artifacts have been found, allowing us to study the material and spiritual culture of Bactria of the Kushan era. These are high-quality ceramics, terracotta figurines, carved bone, metalwork, etc. The site is a fortress at the crossing of the Oxus / Amudarya, abandoned no later than the reign of King of Kings Kanishka I, so the finds from the upper layer give a clear chronological reference —the second quarter of the 2ndcentury CE. The article publishes materials characterizing the decoration of large storage jars of this period, and interesting from the point of view of studying glyptics and sphragistics, owner's marks and art of the epoch of “Great Kushans”.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.029 | 0.011 |
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".