Regional Initiatives: Scaling the Climate Response and Responding to Conceptions of Scale
Bibliographic record
Abstract
In the absence of a coherent national policy to address global climate change, there was an emergence of new scales of environmental governance in the United States. They include regional initiatives that configure binding agreements between individual states within the United States that in some instances also involve cross-border collaborations with Canadian provinces. There are currently three such initiatives: the Northeastern Regional Greenhouse Gas Initiative, the Western Climate Initiative, and the Midwestern Regional Greenhouse Gas Reduction Accord. Combined, they include twenty-four states representing over half of the U.S. economy and four Canadian provinces representing almost three quarters of the Canadian economy. These initiatives are an interesting and unprecedented experiment in environmental governance. As such, they inform current conceptualizations of scale within human geography. They also evidence the need for geographers to enter into public debates on climate change governance and engage in a reconceptualization of the nature of sovereignty.
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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 | 0.001 |
| Science and technology studies | 0.000 | 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".