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Record W2772196380 · doi:10.14330/jeail.2017.10.2.09

Power, Jurisdiction and Admissibility: Reconceptualizing Procedural Legal Issues in the Interpretative Proceedings under Article 60 of the ICJ Statute

2017· article· en· W2772196380 on OpenAlexaff
Yi Chao

Bibliographic record

VenueJournal of East Asia and International Law · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsMcGill University
FundersChina Scholarship Council
KeywordsStatuteJurisdictionPolitical scienceLawPower (physics)Law and economicsSociologyPhysics

Abstract

fetched live from OpenAlex

Article 60 of the ICJ Statute provides a mechanism for interpreting a previous binding judgment in the event of dispute as to the meaning or scope of that judgment. Procedural legal issues such as jurisdiction and admissibility in interpretative proceedings under Article 60 are different from those in regular contentious or advisory proceedings before the ICJ. The Court has developed a set of concrete rules in its jurisprudence under the simple wording of Article 60 to adjudicate on these procedural issues. However, a case-by-case examination of the Court's jurisprudence reveals that there is still no structurally clear and logically sound framework, because the ICJ fails to conceptually divide the issues of 'power,' 'jurisdiction,' and 'admissibility' in interpretative proceedings. In order to rectify this problem, this article proposes an analytical framework for the ICJ with a clearer conceptualization of the Court's 'power,' 'jurisdiction,' and 'admissibility' under Article 60 to clarify the meaning of its previous judgments in interpretative proceedings.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.778
Threshold uncertainty score0.521

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 studies0.0000.000
Scholarly communication0.0010.003
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 head0.022
GPT teacher head0.284
Teacher spread0.262 · 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 designTheoretical or conceptual
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
Published2017
Admission routes1
Has abstractyes

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