The Implementation of the Western Climate Initiative: How North American States and Provinces Lead International Climate Negotiations
Bibliographic record
Abstract
The Western Climate Initiative is internationally recognized as a success story in global climate negotiations. However, between the first expression of the idea of a cap-and-trade system in 2007 and the launch of carbon trading in 2013, the number of participating Canadian provinces and us states fell from 11 to 2, and important hurdles risked derailing the project completely. The trajectory of this innovative cross-boundary policy holds important lessons for the prospects and pitfalls of green paradiplomacy in North America. This paper examines the impetus for subnational efforts to combat climate change in the face of federal inaction, and, through detailed examination of the wci, looks at jurisdictional, administrative, legal, political, social and economic factors that complicate the implementation of these initiatives. The analysis enables a better understanding of prospects for the establishment of norms, rules and institutions among North American federated states that can provide durable environmental regimes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.016 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.030 | 0.011 |
| Scholarly communication | 0.016 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".