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Record W2052647500 · doi:10.1093/arbitration/22.1.151

Enforcement of Foreign Arbitral Awards: Application of the Public Policy Rule in Russia

2006· article· en· W2052647500 on OpenAlexaboutno aff
Diana Tapola

Bibliographic record

VenueArbitration International · 2006
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsnot available
Fundersnot available
KeywordsEnforcementArbitrationState (computer science)Public policyExcuseLawDebtorPolitical scienceGermanEconomic JusticeLaw and economicsBusinessSociologyDebtCreditor

Abstract

fetched live from OpenAlex

THE QUESTION of the application of the public policy rule is very important in issues of enforcement of foreign arbitral awards. Often, when all other grounds for refusal are not sufficient, the debtor relies on public policy as the last resort. Since public policy cannot be given a uniform understanding and each case must have an individual approach, a debtor might well be able to use this excuse to delay the enforcement proceedings and execution of the arbitral award. Understanding of public policy differs from state to state. In Germany, public policy is ‘good customs and the purposes of German law’. In the USA, it is ‘the most basic understanding by courts of morals and justice’,1 although this understanding may be widened by the ‘manifest disregard of law’ if, for example, an arbitral award grossly ignored certain imperative norms of a state, which as a result contradicts the public policy of that state.2 In Canada, public policy refers to the incompatibility of an arbitral award with the basic principles of public morals.3

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)0.000
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.763
Threshold uncertainty score0.593

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.010
GPT teacher head0.233
Teacher spread0.223 · 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 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

Citations9
Published2006
Admission routes1
Has abstractyes

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