FEATURES OF URBAN REVITALIZATION RIVER TERRITORIES
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
The article analyzes the problems of urban development and revitalization of riverside areas. It is proposed to expand the conceptual and terminological base of water legislation with the additional use of concepts from other fields of knowledge: water urbanism; water territories (land of the water fund); hydropower; coastal areas; "contact zone" of riparian coastal water territories; riverside recreation system; riverside tourism system. Complex revitalization of river valleys with a high level of urbanization involves an ecosystem approach, among which modern urban planning solutions of spatial development are leading. This becomes especially relevant against the background of climatic changes, which are gaining catastrophic dynamics in urbanized areas. This problem is highlighted in a number of international documents dedicated to the management of riverine territories and climate change problems: the Stockholm Declaration on the Environment (1972), the World Charter for Nature (1982), the Aalborg Charter "European Cities on the Road to Sustainable Development" (1994), 40th IFLA Congress on "Development of Aquatic and Coastal Ecosystems" in Calgary (2003); the 41st Congress in Taiwan (2004), as well as the "Landscape in a Changing World" program (2010), the UN Framework Convention on Climate Change, UNFCCC Paris (2015), "Habitat III Declarations" (2017 ), the sustainable development program "Rhine 2020", the UN Report "On the global development of water resources: Water and climate change" (2020).
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it