MODERN DOMESTIC AND FOREIGN EXPERIENCE OF DESIGNING AND CONSTRUCTING CHURCHES OF DIFFERENT RELIGIONS AND CONFESSIONS WITH SPACES FOR PUBLIC ACTIVITIES
Bibliographic record
Abstract
The article highlights and analyzes the modern and foreign experience of designing and building temples of various religions and denominations with spaces for public activities, which is relevant for the revival of objects on the boundaries of functions for the near and future perspective. The need to highlight the results of modern domestic and foreign experience in the design and construction of temples of various religions and denominations with spaces for public activities, caused by the destruction of the network of public buildings and structures, which was formed by 3000 varieties and types, requires an incredible amount of time and money. However, there is an alternative, which consists not only in the construction of new temples with spaces for public activities, but also in cooperation between buildings that are similar in function and purpose. Such cooperation can cover one, two, three or more objects, which will ensure more efficient use of resources and increase the functionality of the space as a whole. The research emphasizes that the design of such objects requires adaptation to regional traditions and socio-cultural conditions. The article mentions outstanding Ukrainian architects who implemented innovative projects of temples in the USA, Canada, Brazil and other countries, including M.-D. Nimtsiv and R. Zhuk. The authors of the article also analyze examples of modern churches, which, thanks to their complex functions, serve not only as religious centers, but also as cultural and educational spaces. According to the results of research conducted by the department of architectural environment design, it was established that public spaces near temples can be classified according to several criteria: the form of plans, markings, volume-spatial solutions, as well as the number of functional and operational elements. As a result of these studies, a series of educational and research projects was developed, which are aimed at meeting the real needs of customers. and, in particular, the town hall of the territorial community "Zymna Voda" near Lviv, which demonstrates a practical approach to the integration of religious and social functions in modern architecture.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".