From Sustainable to Resilient Cities: Global Concerns and Urban Efforts
Bibliographic record
Abstract
Sustainable Cities in Flux: Continuity, Comparisons, and Conceptions. Coping with Natural Disasters and Urban Risk: An Approach to Urban Sustainability from Socio-Environmental Fragmentation and Urban Vulnerability Assessment. Towards Sustainable Urban and Regional Planning: Experiences from the Netherlands. Residential Landscapes, Environmental Sustainability and Climate Change. Urban Crisis Within Environmental and Industrial Policies in Italy: Case of the Steel Industry in Taranto. Sustainable Cities in Post-Soviet Central Asia: Case of Bishkek. Sustainability Challenges and the Spatial Manifestation of Poverty in Megacities of the Global South: Focus on Dhaka, Bangladesh. Smart Growth Machines: Ecological Modernization of Urban Political Economy. Creating New Urban Spaces of Sustainability and Governmentality: An Assessment of the Development of a Food and Urban Agriculture Strategy for Edmonton, Canada. Linea Verde, an Axis Road in Aguascalientes, Mexico. Barriers to Sustainability: Gendered Divisions of Labor in Cuban Urban Agriculture. Do You Know What it Means to Rebuild New Orleans? Cultural Sustainability after Disaster. The World is my Backyard: Romanticization, Thoreauvian Rhetoric, and Constructive Confrontation in the Tiny House Movement. Becoming a European Green Capital: A Way towards Sustainability?. From Sustainability to Resilience: Why Locality Matters. Copyright page. From Sustainable to Resilient Cities: Global Concerns and Urban Efforts. Introduction. List of Contributors. Research in Urban Sociology. From Sustainable to Resilient Cities: Global Concerns and Urban Efforts.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.010 | 0.015 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".