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Record W2986740646

Mind the Gap: Proposing a Tool for Identifying Gaps in Institutional Arbitration Rules

2017· article· en· W2986740646 on OpenAlexaboutno aff
Wheaton Webb

Bibliographic record

VenueFlorida A. & M. University Law Review · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsnot available
Fundersnot available
KeywordsArbitrationComputer sciencePolitical scienceBusinessLaw and economicsCognitive scienceSociologyPsychologyLaw
DOInot available

Abstract

fetched live from OpenAlex

A recognized benefit of arbitration is the power of the disputants to select, usually in advance, the procedural rules that will govern their dispute resolution. The right to determine procedural rules may be particularly important in transnational agreements where contracting parties are from States with different legal cultures. Of course, Parties capitalizing on this advantage do not draft new procedural rules for every transaction. Instead, the parties incorporate procedural rules created by arbitral institutions into their agreements. This creates clear incentives for institutions to develop thorough yet flexible procedural rules. Despite this incentive, the rules themselves may be deficient in resolving a particular procedural issue. In these cases, the tribunal must make an important determination: Is there a gap in the rules that must be filled by an exercise of the tribunal’s discretion or does the silence imply an intent to preclude a particular procedural mechanism? Much has been written on the identification of gaps in party contracts by arbitral tribunals; however, the literature is largely silent on the identification of gaps in procedural rules. In this paper I will provide background on the nature and consequences of a gap and propose a Borrowed Rule Principle to help tribunals determine whether a gap exists. I will apply the Borrowed Rule Principle to two provisions from the Center for Arbitration and Mediation of the Chamber of Commerce Brazil-Canada Rules (CAM-CCBC Rules) to determine whether those provisions contain gaps that must be filled.

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)0.033
metaresearch head score (Gemma)0.071
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 score0.033
Threshold uncertainty score0.176

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0330.071
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0100.006
Science and technology studies0.0050.024
Scholarly communication0.0130.028
Open science0.0050.011
Research integrity0.0080.011
Insufficient payload (model declined to judge)0.0080.002

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 head0.049
GPT teacher head0.273
Teacher spread0.224 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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Same venueFlorida A. & M. University Law ReviewSame topicInternational Arbitration and Investment LawFrench-language works237,207