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Record W2255057608

Private Rights and Public International Law: Why Competition Among International Economic Law Tribunals is Not Working

2007· article· en· W2255057608 on OpenAlexaff
Andrea K. Bjorklund

Bibliographic record

VenueHastings law journal · 2007
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsMcGill University
Fundersnot available
KeywordsArbitrationCompetition (biology)PlaintiffBusinessOrder (exchange)International economic lawState (computer science)International arbitrationLawInternational lawLaw and economicsEconomicsPolitical sciencePublic international lawFinance
DOInot available

Abstract

fetched live from OpenAlex

This Article discusses the problematic consequences that result from individuals having multiple international economic tribunals available to redress grievances. The Article describes the proliferation of international courts and tribunals, and discusses the jurisdictional and subject matter authorities of the International Court of Justice, the World Trade Organization Settlement Body, and various regional dispute settlement bodies and municipal courts. The author notes the most problematic consequences of utilizing a system involving multiple forums are the promotion of fragmentation and duplication of tribunal and court authority. In addition, the author discusses the effect of public and private law principles on fragmentation and duplication. The author reveals an in-depth analysis of cases illuminating the convoluted and negative results promoted by the fragmentation and duplication of authority. Generally, the author argues that fragmentation and duplication are undesirable consequences and result in inefficient and ineffective international dispute resolution. The author notes the practical importance of maintaining the various courts and tribunals while working to create a more holistic system. Finally, the author discusses how various directives and doctrines may assist international forums to coordinate and reduce the likelihood of fragmentation and duplication of authorities in order to maintain the long-term viability of international dispute settlement.

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)0.015
metaresearch head score (Gemma)0.035
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: Empirical · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.035
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0140.054
Scholarly communication0.0240.020
Open science0.0020.009
Research integrity0.0090.008
Insufficient payload (model declined to judge)0.0110.001

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 head0.023
GPT teacher head0.233
Teacher spread0.210 · 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
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

Citations32
Published2007
Admission routes1
Has abstractyes

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Same venueHastings law journalSame topicInternational Arbitration and Investment LawFrench-language works237,207