The method of reconstruction of the interior quarterly space in the formation of a modern housing in the conditions of a historical building
Bibliographic record
Abstract
Historic city blocks, which are often characterized by polygonal layouts that form a beautiful inner courtyard, present many challenges for the formation of modern housing in the context of historical buildings, mainly due to space limitations. Incorporating essential amenities as required by state law, such as children's play areas, adult recreation areas, and car and bicycle parking, requires a subtle approach that harmonizes modern needs with heritage preservation. This study formulates a three-stage methodological framework for the reconstruction of intra-neighborhood spaces, especially in Ukrainian urban contexts. In the study, three primary principles of the design of residential areas are defined: closed-type greening, common intra-quarter improvement and extra-quarter improvement. These principles advocate a synergistic use of spaces where modern residential buildings can share amenities with neighboring buildings, contributing to a shared, sustainable living environment. The case of a historical quarter in Kyiv presented in the article serves as a practical manifestation of these principles, illustrating how shared amenities and strategic planning can contribute to the seamless integration of modern housing into the historical context, enhancing both the functionality and aesthetic appeal of the entire quarter. Furthermore, it highlights the importance of transforming inner courtyards into greener recreational areas, while centralizing parking spaces and relegating them to the periphery to create an organized, breathable urban ecosystem. This study argues that the harmonization of contemporary housing with historic architecture goes beyond simple external assimilation; it requires a deep understanding and rethinking of adjacent spaces so that they meet modern requirements. The insights gathered here hold significant potential to guide future research into the evolution of dynamic, inclusive and culturally rich urban environments.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".