Empowering Local Climate Actions: Insights on Environmental Devolution from Global North and Global South
Bibliographic record
Abstract
The global climate crisis has necessitated an adaptive governance framework to prioritize sustainable development. Environmental devolution is one of the adaptation-cum-mitigation strategies that transfer decision-making power over climate governance from central governments to local institutions and offers a potential roadmap to navigate climate challenges effectively. This study aims to explore the dynamics of environmental devolution by analyzing the dominant case studies from the Global North (Canada, UK, and Australia) and the Global South (India, Brazil, and South Africa), comprehending their innovative approaches towards sustainable governance. The case study approach helps to do an in-depth analysis of various devolution models across the globe and finds that the patterns of environmental devolution in the Global North often derive from constitutional and institutional frameworks, whereas in the Global South, community-based initiatives and indigenous knowledge systems (re-)shape this. The study concludes by comparing diverse cases and urges for an effective environmental devolution model to address the challenges of climate justice and contribute to sustainable governance. The findings suggest policymakers and practitioners to foster an adaptive governance framework to address the complexities of the climate crisis.
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 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 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".