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Record W4285189776 · doi:10.2991/aebmr.k.220405.039

Emerging Challenges and Reforms Facing the International Court of Justice in Dispute Resolution - Jurisdiction and Arbitrability

2022· article· en· W4285189776 on OpenAlexaff
Hao De, Yongqi Lin, Peiwen Xiao

Bibliographic record

VenueAdvances in economics, business and management research/Advances in Economics, Business and Management Research · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsDalhousie University
Fundersnot available
KeywordsJurisdictionDispute resolutionEconomic JusticePolitical scienceResolution (logic)LawAlternative dispute resolutionComputer science

Abstract

fetched live from OpenAlex

The International Court of Justice (ICJ), as the principal judicial organ of the United Nations, has long been of significant relevance in the resolution of international disputes and the maintenance of world peace.Nonetheless, the application of the ICJ is not promising since its establishment, and there is considerable controversy concerning several decisions and advisory opinions made by the Court.Nevertheless, the reform of the ICJ is a process aimed at renovating or modifying its substantive and procedural rules to promote efficiency and achieve justice.This paper identifies external challenges and the internal demand for renovation as the ICJ's incentives in addressing future reforms.By invoking case studies and strategic research, this article provides reform propositions concerning expanding the scope of litigation jurisdiction and limitations on the veto power.

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)0.087
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.087
Threshold uncertainty score0.461

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0870.092
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.006
Science and technology studies0.0150.041
Scholarly communication0.0450.026
Open science0.0070.010
Research integrity0.0260.025
Insufficient payload (model declined to judge)0.0070.001

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 head0.036
GPT teacher head0.309
Teacher spread0.273 · 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 designNot applicable
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
Published2022
Admission routes1
Has abstractyes

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Same venueAdvances in economics, business and management research/Advances in Economics, Business and Management ResearchSame topicInternational Arbitration and Investment LawFrench-language works237,207