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Record W3005739624

Arbitration and the Federal Balance

2019· article· en· W3005739624 on OpenAlexaff
Alyssa S. King

Bibliographic record

VenueIndiana law journal · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsQueen's University
Fundersnot available
KeywordsArbitrationCompulsory arbitrationFederal preemptionFederal Arbitration ActLawStatutory lawSupreme courtLegislaturePreemptionState (computer science)Federal common lawPolitical scienceCommon lawLaw and economicsBusinessStatuteEconomicsState law
DOInot available

Abstract

fetched live from OpenAlex

Mandatory arbitration of statutory rights in contracts between parties of unequal bargaining power has drawn political attention at both the federal and state level. The importance of such reforms has only been heightened by the Supreme Court’s expansion of preemption under the FAA and of arbitral authority. This case law creates incentives for courts at all levels to prefer expansive readings of an arbitration clause. As attempts at federal regulation have stalled, state legislatures and regulatory agencies can expect to be subject to renewed focus. If state legislatures cannot easily limit arbitrability, an alternative is to try reforms that seek to make arbitration more closely resemble judging. Some common reforms that have been proposed or adopted at the state level include conflict-of-interest rules for arbitrators, default process rules, and publication requirements. These proposals might bring arbitration more in line with the processes and outcomes one might expect from a state court.\nReform along these lines is worth pursuing, but faces two significant problems. The first is federal preemption. Most prior cases have focused on state law controls before an arbitration gets started. State laws implemented during and after arbitration may avoid the same fate. A less obvious problem comes from the degree certain state reforms aim to treat arbitration as a substitute for court. Arbitrators lack the authority that judges have to develop the law, creating a further due process problem for parties who expect to be operating in a common law system. Accommodating arbitration may mean moving further from a model of common law adjudication.

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)0.005
metaresearch head score (Gemma)0.005
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 score0.022
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0070.010
Scholarly communication0.0070.006
Open science0.0010.004
Research integrity0.0090.007
Insufficient payload (model declined to judge)0.0140.002

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 head0.008
GPT teacher head0.204
Teacher spread0.196 · 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
Published2019
Admission routes1
Has abstractyes

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