Возникновение и формирование Уйбатского города (Хакасия). Градообразующая роль храмов середины VIII начала XIII в.
Bibliographic record
Abstract
Л. Р. Кызласовым в 1971 1981 гг. в Хакасии на Среднем Енисее были обнаружены и изучались раскопками два раннесредневековых городских центра, отличавшихся монументальными манихейскими храмами, святилищами и монастырями VIII XIII вв. Особый интерес представляет скопление сакральных построек в Уйбатском городе, расположенном в стороне от рек, размещение и планировочная обособленность храмово монастырского квартала от жилых и производственных частей геометрически правильно спроектированного города, возникшего благодаря сакральному комплексу. Этот городской и монастырско храмовый центр, согласно археологическому исследованию, существовал не менее 400 лет. И все это время вокруг него и рядом с ним развивалась храмовая и городская культура южносибирского общества. In 1971 1981 L. R. Kyzlasov discovered two early medieval urban centers on the Middle Yenisei in Khakassia. He excavated these sites and examined monumental Manichaean temples, sanctuaries and monasteries of the 8th 13th centuries. Of special interest is a concentration of sacral constructions in the Uybat town located at a distance from rivers (Figs. 1 3), and the location of the temple and the monastery quarter and its layout which made it isolated from the residential and production areas (Fig. 3) of the geometrically regular town (Figs. 4 5) built around the sacral ensemble. The archaeological excavations demonstrate that this town and the monastery temple center existed for at least 400 years, with the temple and the urban culture of the southern Siberian community developing around and near it.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.016 | 0.006 |
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".