ECONOMIC JUSTIFICATION FOR RENOVATION SERVICES OF A TYPICAL QUARTER
Bibliographic record
Abstract
Важной частью разрешения проблем, связанных с реновацией выступает разработка и внедрение эффективного механизма как планирования, так и финансирования, посредством которого все мероприятия и будут осуществляться. Для определения целесообразности введения реновации в регионе проведен критический анализ жилого фонда и отдельно произведен расчет примерной общей площади хрущевок, годы строительства которых находятся во временных рамках с конца 1950-х по 1972 г. с учетом деления по районам. В результате, которого общая площадь составила примерно 3866388,08 кв. м. В городе представлены многоквартирные дома разных серий построек включая большое количество кирпичных домов. Показано, что программа должна быть направлена, в первую очередь, на панельные «хрущевки» ранней постройки. An important part of resolving the problems associated with renovation is the development and implementation of an effective mechanism for both planning and financing, through which all activities will be carried out. To determine the feasibility of introducing renovation in the region, a critical analysis of the housing stock was carried out and a separate calculation was made of the approximate total area of Khrushchev houses, the years of construction of which are in the time frame from the late 1950s to 1972, taking into account the division by districts. As a result, the total area was approximately 3,866,388.08 sq. m. The city presents apartment buildings of different series of buildings, including a large number of brick houses. It is shown that the program should be directed, first of all, to panel "Khrushchev" houses of early construction.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 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".