<b>Інклюзивність при ревіталізації виробничих територій на прикладі мікрорайону «Чайка» у місті Рівному</b>
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article presents the importance of integrating the principles of inclusion at all stages of planning and implementing projects for revitalization of neglected, in particular, post-industrial urban production areas. The current Ukrainian regulatory framework in the field of inclusion is analyzed, in particular the requirements of state building codes, as well as current political initiatives, in particular the National Strategy for Creating a Barrier-Free Space by 2030. The authors analyze the principles of inclusion in the urban context, highlight the Ukrainian regulatory and legal basis for creating a barrier-free environment, as well as the experience of applying the principles of universal design, spatial accessibility, and social justice in revitalization practice. The study provides examples of practical implementation of an inclusive approach in the revitalization of urban areas in Ukraine (Lviv, Kyiv) and abroad (Canada, Great Britain), which allows us to identify universal indicators of inclusiveness, such as: physical accessibility, functional flexibility, participatory nature and preservation of cultural identity. The authors also identify key challenges, including the fragmentation of approaches, the lack of mandatory social impact analysis, and formalized public discussion. The article formulates a number of recommendations for adapting an inclusive approach to Ukrainian realities, in particular through regulatory consolidation of participation procedures, development of institutional support mechanisms, and financial incentives for the implementation of universal design.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.005 |
| Meta-epidemiology (narrow) | 0.005 | 0.005 |
| Meta-epidemiology (broad) | 0.006 | 0.004 |
| Bibliometrics | 0.003 | 0.011 |
| Science and technology studies | 0.009 | 0.010 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.007 | 0.004 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 0.010 |
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 it