Eski-Crimea: Introduction to the Historical Topography of the City of the Crimean Khanate
Bibliographic record
Abstract
The paper addresses the main points of the development history of a Crimean Khanate town of Eski-Crimea (Old Crimea), and a graphic reconstruction of its general plan for the last quarter of the 18th century – the final stage of the state’s existence. The reconstruction of the historical topography of the late medieval town was carried out on the basis of three arrays of sources – written, cartographic and archaeological. All essential elements of the historical topography of the late medieval town were recreated. The plan of the quarter development and the street network was reconstructed. Town mosques, a bathhouse, fountains which supplied the townspeople with water, hotels – caravanserais, and shopping arcades were localized. The location of the town market and an early mosque built in 1263 was determined. It is suggested that the area around them marks the early region from where the town began to expand and where it is possible to find the earliest cultural layers associated with the emergence of the town. By the final stage of the existence of Crimean Khanate, the area of urban development in Eski-Crimea was about 29 hectares.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".