Karasubazar: Historical Topography of the City of the Crimean Khanate in the 16th-18th Centuries
Bibliographic record
Abstract
The article covers the main points of the town-planning history of Karasubazar, the city of the Crimean khanate, and, most importantly, offers a graphic reconstruction of its master plan for the last quarter of the 18th century, the final stage of the state’s existence. Reconstruction of the historical topography of the late medieval city was carried out for the first time on the basis of three types of sources – written, cartographic, and archaeological. All the basic elements of the city’s historical topography as well as the plan of quarterly residential development and a network of streets are reconstructed. Characteristic features of the location of the quarters inhabited by the Greek, Armenian and Jewish population among the main population of the Tatar inhabitants are revealed. City mosques, bathhouses, fountains supplying the citizens with water, hotels-caravanserais, shopping malls, and production workshops are localized. It is found out that Karasubazar was the second largest settlement in the state, its capital Bakhchisarai being the largest one. By the final stage of the Crimean khanate’s existence the area of the urban development of Karasubazar was 109.0 hectares
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".