Conditions of the transformation of the landscape of the residential quarter developed in the 1950s-1960s in the mass renovation
Bibliographic record
Abstract
The relevance of the problem under investigation is due to the mass renovation of the existing landscape of residential quarters in Moscow. The purpose of the article is to disclose the influence of the urban-planning and investment potential on the development of pre-project proposals corresponding to the conditions for the renovation of the quarter without demolition and resettlement of residents, without demolition with resettlement of residents, with the full demolition and resettlement of residents with an assessment of the spatial properties of the newly formed landscape of the residential quarter. To solve this problem, a multivariate analysis of the results of design solutions for the renovation of existing buildings of quarters was made. It allowed to disclose the characteristic features of the transformation of landscape components caused by major repair, the installation of lift shafts, the construction of superstructures, attics, extensions and insertions, the reconstruction of existing and construction of new facilities of the pre-school and general education institution, an updated system of landscaping and greenery system, a street-road network and parking garages. The main results of the article show that the implementation of a multivariate analysis of pre-project solutions for renovation of the existing residential five-storey buildings of quarters having their own specifics and peculiarities will allow to obtain results that meet the interests of the administration, residents and investors, and also differentially approach to the accounting of social, financial, legal and other aspects of urban planning. The materials of the article can be useful for, urban planners, architects, builders, investors and administrative organs.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".