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Record W3004598523 · doi:10.1017/ajil.2019.82

United States Gives Notice of Withdrawal from Paris Agreement on Climate Change

2020· article· en· W3004598523 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAmerican Journal of International Law · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNoticeAdministration (probate law)RegretAgreementPolitical scienceState (computer science)LawMember statesEuropean unionEconomicsInternational trade

Abstract

fetched live from OpenAlex

On November 4, 2019, the Trump administration notified the United Nations that the United States was withdrawing from the Paris Agreement, prompting expressions of regret from a number of countries. Although President Trump had announced in June 2017 that the United States intended to withdraw from the Paris Agreement, its terms had prevented the United States from giving formal notice of withdrawal until November 4, 2019. The withdrawal will take effect on November 4, 2020. Domestically, the governors of many U.S. states responded to the withdrawal by reaffirming their commitment to the goals of the Paris Agreement, consistent with recurring tensions between the Trump administration and progressive states with respect to climate. In another major manifestation of these tensions, on October 23, 2019, the United States sued California over the state's cap-and-trade agreement with Quebec, Canada, alleging that this agreement is an unconstitutional exercise of foreign affairs powers.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.792
Threshold uncertainty score0.993

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.029
GPT teacher head0.317
Teacher spread0.288 · 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