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Record W2743728999

The Role of the International Court of Justice in Addressing Climate Change: Some Preliminary Reflections

2017· article· en· W2743728999 on OpenAlexaboutno aff
Daniel Bodansky

Bibliographic record

VenueSSRN Electronic Journal · 2017
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsAdjudicationNegotiationInternational courtPolitical scienceAdvisory opinionCivil aviationClimate changeConstructiveMontreal ProtocolGreenhouse gasAviationWork (physics)Dissenting opinionEconomic JusticeInternational lawPublic administrationLawGeographyPublic international lawEngineering
DOInot available

Abstract

fetched live from OpenAlex

What role might international adjudication play in addressing climate change? Thus far, the international climate change regime has developed primarily through negotiations, marked most recently by the adoption of the Paris Agreement and decisions by the Montreal Protocol parties and the International Civil Aviation Organization to address hydrofluorocarbons (HFCs) and aviation emissions respectively, two very rapidly growing sources of greenhouse gas emissions. Despite the Trump Administration's repudiation of the Paris Agreement, it remains our best hope of addressing climate change internationally. But adjudication could also play a constructive role, not as a substitute for the negotiations but as a complement. The essay explores the relationship between adjudication and negotiation, and how an ICJ advisory opinion could work with rather than against the grain of the negotiations.

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)0.056
metaresearch head score (Gemma)0.092
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.056
Threshold uncertainty score0.295

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0560.092
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.005
Science and technology studies0.0280.062
Scholarly communication0.0530.037
Open science0.0060.013
Research integrity0.0490.050
Insufficient payload (model declined to judge)0.0100.001

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 head0.102
GPT teacher head0.321
Teacher spread0.219 · 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 designTheoretical or conceptual
Domainnot available
GenreCommentary

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

Citations50
Published2017
Admission routes1
Has abstractyes

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