Transnational Governance and the Urban Politics of Nature-Based Solutions for Climate Change
Bibliographic record
Abstract
Abstract Multiple visions for how urbanism can respond to the climate crisis and foster sustainability have emerged on the international agenda, including the ecocity, low-carbon city, smart city, and resilient city. These competing visions have been joined by one deploying “nature-based solutions.” We examine how nature-based solutions are emerging as a linchpin holding together the nature and climate agendas and what this means for where and by whom nature-based solutions are forming part of transnational urban governance. We argue that this field is animated by four frames connecting urban nature and climate: nature for resilience, nature for mitigation, the integrated benefits of nature, and nature first. Diverse actors, from conservation organizations to design firms to transnational municipal networks, draw on these frames and adopt new governance arrangements such that what it means to govern climate in the city is shifting. How this emerging nature–climate governance complex is structured will generate new momentum for governing urban nature over the coming decade.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".