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Record W4406715076 · doi:10.1007/978-3-031-76113-3_11

20 Years of Climate Paradiplomacy Between Québec and the United States

2025· book-chapter· en· W4406715076 on OpenAlexaffabout
Annie Chaloux, Jennyfer Boudreau

Bibliographic record

VenueCanada and international affairs · 2025
Typebook-chapter
Languageen
FieldSocial Sciences
TopicClimate Change, Adaptation, Migration
Canadian institutionsCanadian Institute for International Peace and SecurityUniversité de Sherbrooke
Fundersnot available
KeywordsPolitical scienceClimatologyGeology

Abstract

fetched live from OpenAlex

Abstract This chapter examines the evolution of relations between Québec and U.S. states over the past 20 years on the issue of climate change. Through the case studies of the New England Governors and Eastern Canadian premiers, as well as the Western Climate Initiative, the authors illustrate that cooperation between Québec and its U.S. counterparts has been not only maintained but also strengthened over time. Shared energy and environmental interests (notably the export of hydroelectricity), along with similar constitutional powers and the institutionalization of these cooperative bonds, partly account for why, despite the political shifts of the last two decades, Québec's climate paradiplomacy with the U.S. states has been maintained without disruption.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.099
Threshold uncertainty score0.718

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0100.004
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.000

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 head0.041
GPT teacher head0.280
Teacher spread0.239 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreOther

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".

Quick stats

Citations1
Published2025
Admission routes2
Has abstractyes

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