Building Green: Local Political Leadership Addressing Climate Change
Bibliographic record
Abstract
Municipal agreements have been instrumental in communicating commitment to addressing climate change at the local level. However, what is the practical implication of this potentially symbolic decision? This study examines the power of mayoral participation in climate change agreements in driving the proliferation of sustainable or 'green' building in a city as a mechanism to reach its climate change goals. In addition, mayors can localize what is otherwise a public good by framing green buildings as having other tangible impacts on a community. We analyze the impact of political leadership on green building projects in 591 cities in 50 U.S. states, controlling for a variety of city- and state-level variables. Hierarchical models indicate that mayoral leadership in climate change policy fosters green building, while state-level predictors are not as important as city policy in creating green buildings. Our research concludes that local governments can be a very effective venue in addressing broad climate change goals.
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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 | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".