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Record W2738071696 · doi:10.1163/15718069-22021112

The Implementation of the Western Climate Initiative: How North American States and Provinces Lead International Climate Negotiations

2017· article· en· W2738071696 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Negotiation · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsNegotiationPolitical sciencePoliticsClimate changeFace (sociological concept)International tradePublic administrationPolitical economyEconomicsSociologyLawEcologySocial science

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.600
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.020
GPT teacher head0.349
Teacher spread0.330 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it