On the Way to the Crimea and from the Crimea. Or-Kapu (Perekop): introduction to the historical topography of the Crimean Khanate town
Bibliographic record
Abstract
The article reveals the main points of the historical topography of the Crimean Khanate town – Or-Kapu, and most importantly, proposed a graphic reconstruction of its general plan for the third quarter of the 18th century, the final stage of the existence of this state. The reconstruction of the historical topography of the late medieval town is based on three main categories of sources – written, cartographic and archaeological. All basic elements of the historical topography of the late medieval town and building inside the stone fortress are recreated by the author. The plan of town’s quarters and streets was reconstructed. Three town mosques, a bath-house, eight wells that supplied people with water, one hotel – a caravanserai, rows of stalls, and a cemetery were localized. It has been possible to determine that it was the smallest settlement in the state. By the final stage of the existence of the Crimean Khanate, the urban area of Or-Kapu was about 19.3 hectares, the town cemetery was about 5.0 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".