METHODOLOGY OF RESEARCH OF THE INNER QUARTER SPACES OF HISTORICAL CITIES
Bibliographic record
Abstract
When addressing issues related to the reconstruction or renovation of historic quarters of the city of Chernivtsi, special attention should be paid to the procedure of research of inner quarter spaces. The theoretical basis of the study was a number of works on the specifics of the formation of the architectural image of the central parts of historic cities and problems of urban planning. The aim of the article is to develop a method of research of inner quarter spaces, to determine ways and means of its practical implementation in the disciplines of the Department of Urban Planning, Faculty of Architecture, Engineering, and Decorative and Applied Arts, Yuriy Fedkovych Chernivtsi National University. For the discipline «Regional Architecture of Bukovina» was offered a course project related to the study of inner quarters of Chernivtsi using morphological analysis and the method of «go-along», and entering photos of courtyards in the program GeoSetter, to determine and link their location on the map of Chernivtsi. To conduct morphological analysis of the study, it is necessary to form a universal base of morphological characteristics, which can be used to describe any open space of the city
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.007 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".