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Record W3182936063 · doi:10.1163/22119000-12340214

The Problem of Execution Immunities and the ICSID Convention

2021· article· en· W3182936063 on OpenAlexaff
Mees Brenninkmeijer, Fabien Gélinas

Bibliographic record

VenueThe Journal of World Investment & Trade · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsMcGill University
Fundersnot available
KeywordsArbitrationWaiverContext (archaeology)ConventionState immunityLawSettlement (finance)State (computer science)BusinessPolitical scienceLaw and economicsInternational lawEconomicsComputer scienceFinanceGeography

Abstract

fetched live from OpenAlex

Abstract The prevailing view in international practice is that, by consenting to arbitration, a State does not waive its immunity from execution. Yet, in the context of arbitration administered by the International Centre for Settlement of Investment Disputes (ICSID) – as in the context of arbitration between States and private parties more generally – the problem of execution immunities is a very significant obstacle to the effective implementation of arbitral awards. When immunity from execution allows States to escape obligations they have freely undertaken, and when it withholds from claimants the fruits of a favourable award, the benefits of arbitration become illusory. This article contends that the prevailing view is no longer compelling. We argue that domestic courts can and should uphold the rule-of-law objectives and benefits of the ICSID Convention by adjusting their approach to immunity claims in the arbitral context: consent to arbitration should be interpreted as an implied waiver of immunity from execution.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.682
Threshold uncertainty score0.279

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 head0.015
GPT teacher head0.212
Teacher spread0.197 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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