Comfort, convenience and long-term effectiveness. Neighborhood in Ottawa, Canada
Bibliographic record
Abstract
The article raises the issue of finding ways to restore and rebuild housing in Ukraine that was destroyed during Russia's full-scale invasion. The experience of housing construction in the second half of the twentieth century in Ukraine indicates significant miscalculations that were made. One of them is the use of monotonous, overly typified urban planning and functional planning techniques that did not take into account the temporal dynamics of the socio-demographic characteristics of the urban community, its stratification by age, family relations, life rhythms, interests, opportunities, etc. At about the same time, other housing was being built in North American cities, which has not lost its relevance to this day, and the organizational and architectural approaches used have proven to be appropriate and effective in long-term use. A detailed analysis of one of the residential districts in Ottawa, Canada, was carried out. Its urban planning, functional planning, and three-dimensional spatial solutions are considered. It was found that the key to the viability and efficiency of this urban formation was, firstly, the existence of a close relationship between the regulatory, socio-economic, territorial and urban planning and other components of the project; secondly, the interest of the construction company in the long-term economic stability of this residential area. The result of this approach was the ability to adapt to new rules and regulations, lifestyles, property status, and ideas about the comfortable stay of people who use this housing. It has been found that a variety of urban planning, architectural and spatial, typological and planning techniques, a change in the number of storeys of buildings, a developed intra-quarter and adjacent infrastructure, landscaping and greening of the territory are prerequisites for creating a quality living environment. The heterogeneity of the urban community brings the need to revise the established urban planning and typological techniques adopted in the Soviet era to the design of housing. It requires a wider application of non-traditional approaches, the involvement of positive foreign experience in the formation of conceptual solutions for residential development, which will allow to more fully meet the needs of residents, in accordance with their capabilities, tastes and preferences in the reconstruction of Ukrainian cities.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.015 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".