The Middle Ages in the Landscape of the Present-Day Pereslavl-Zalessky
Bibliographic record
Abstract
Among ancient Russian towns, Pereslavl-Zalessky stands out for the rare preservation of its historical town-planning structure. The basis for such estimation is provided by the evidence of sources on the town’s history during the 12th — 17th centuries and a comparative analysis of cartographical documents of the early modern time. The views on the formation of Old Russian towns and assessment of the factors affecting the town-planning have recently undergone considerable changes. The comparison of historical and archival as well as archaeological evidence with the present-day topography of Pereslavl allows us to trace the modification of the planning structure that has retained not only separate architectural objects of the 12th — 17th centuries but also parcels of the medieval town layout. The article presents examples of the ‘exceptions to the rule’ during the execution of a regular plan at the end of the 18th century that, together with historical evidence on the composition and occupations of the trading quarter’s population, permit to more precisely determine the historical peculiarity of Pereslavl.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".