Climate Change Policies of City Governments in Federal Systems: An Analysis of Vancouver, Melbourne and New York City
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
Jones S. Climate change policies of city governments in federal systems: an analysis of Vancouver, Melbourne and New York City, Regional Studies. Canada, Australia and the United States are among the world's heaviest emitters per capita of greenhouse gases. City governments within these countries have been implementing policies to help reduce emissions and control the impacts of climate change. Vancouver, Melbourne and New York City governments have been policy activists in this area for a considerable period. Policy research on climate change argues that effective climate change action in federal systems requires collaboration and coordination between all levels of government. This article outlines a typology that identifies current thinking on the factors that shape the capacity of city governments in federal systems to establish effective climate change policies. Findings suggest a policy gap continues to impede effective policy implementation with city government being severely limited without the support of other levels of government. The conclusions provide a number of refinements to the typology as a result of the experiences of the three city governments.
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