MétaCan
Menu
Back to cohort
Record W2921771522 · doi:10.14510/araj.2019.4244

Judicial Review of Arbitral Awards in International Arbitration.

2019· article· en· W2921771522 on OpenAlexvenueno aff
Ion Buruiana

Bibliographic record

VenueJournal of the American Romanian Academy of Arts and Sciences · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsnot available
Fundersnot available
KeywordsArbitrationLawPolitical scienceInternational arbitration

Abstract

fetched live from OpenAlex

The situation in comparative law with regard to the judicial review of arbitral awards need a harmonization of different legal systems and uniform judicial interpretation in practice with regard to the scope of judicial review of arbitral awards. Expansion of judicial review so that the merits of the case, even to the extent relating to a point of law, could be revisited by national courts seems to be undesirable. Judicial review of the merits of arbitral awards by national courts clearly runs the risk of impinging upon arbitration as an effective method of dispute resolution. Parties to an arbitration agreement can no longer be confident that an arbitral award, once rendered, is final. Thus, an appropriate model of judicial review seems to lie in the recognition of the necessity of judicial review, but basically limiting it in scope to procedural irregularities and violation of due process. It follows that the only recourse permitted is setting aside, and this recourse can only be relied upon in accordance with the norms of the applicable law on arbitration, which usualy sets a list of grounds for setting aside and defines the time limit within which a motion to set aside may be submitted. Rights of appeal and review in a jurisdiction can seriously frustrate the advantages of international arbitration.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.797
Threshold uncertainty score0.164

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.021
GPT teacher head0.281
Teacher spread0.260 · 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 designObservational
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

Citations2
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the American Romanian Academy of Arts and SciencesSame topicInternational Arbitration and Investment LawFrench-language works237,207