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Record W2966771520 · doi:10.9734/jesbs/2019/v31i330153

The Effect of the International Court of Justice on Environmental Issues

2019· article· en· W2966771520 on OpenAlexaboutno aff
Ali Reza Annabi, Mahmoud Jalali, Seyyedvalilou Mir Mahmood

Bibliographic record

VenueJournal of Education Society and Behavioural Science · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental law and policy
Canadian institutionsnot available
Fundersnot available
KeywordsInternational courtJurisdictionLawInternational lawEnvironmental lawPolitical scienceEnvironmental justiceEconomic JusticeInternational communityPublic international law

Abstract

fetched live from OpenAlex

Environmental issues are an important in both domestic and international contexts, and may be subject to an International Court of Justice Decision, or any other international judicial institution. The International Court of Justice (ICJ) is the main judicial body of the United Nations, which has both a contentious and an advisory jurisdiction in its decisions. We study the Court's performance in environmental issues in this article. By examining four issues: first, the contentious and advisory tasks; second, the role of environmental organizations; third, the Trail Smelter case (between the United States and Canada), which is the legal basis of international law in the environmental issues, and; fourth, evaluating the Court's performance in eight judgments in the following cases: 1) The status of the environment in the court; 2) the Corfu case (between Albania and the United Kingdom); 3) the Lennox Lake case (between France and Spain); 4) the Mills case (between Uruguay and Argentina); 5) the Oder River case (between Poland and some European countries); 6) Aerial Herbicide Spraying (between Colombia and Ecuador). Because of the current contemporary status of international law and international environmental law, the International Court of Justice, has departed from their traditional approach because of the evolution of legal intellectual and thought on environmental issues. They focus on the general order of the international community as well as on pollution issues.

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 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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.410

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.012
GPT teacher head0.332
Teacher spread0.320 · 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 teacher head, not a consensus.

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

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

Citations0
Published2019
Admission routes1
Has abstractyes

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