Interdisciplinary Linkages among Sustainability Dimensions in the Context of European Cities and Regions Research
Bibliographic record
Abstract
Many dimensions of urban sustainability are intricately intertwined; however, systematic assessment of those linkages is often missing. To explore the details of these interdisciplinary linkages, we employ an in-depth literature review technique coupled with a multidimensional assessment of sustainability for 1300+ cities and regions in Europe. The wealth of indicators affecting economic, smart, social and environmental dimensions are linked within a coherent framework illustrating systemic links in urban sustainability. The performance of cities is illustrated using the multidimensional framework highlighting the contributions of various factors. The spectacular performance of Stockholm, Paris, London, Gothenburg, Malmö, Munich and Hamburg are illustrated with examples. Policy recommendations are offered to make cities and regions around the world more sustainable.
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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 | 0.014 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.013 | 0.030 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".