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Record W2254669551

The Continuing Appeal of Annulment?: Lessons from Amco Asia and Cme

2006· article· en· W2254669551 on OpenAlexaff
Andrea K. Bjorklund

Bibliographic record

VenueSSRN Electronic Journal · 2006
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsMcGill University
Fundersnot available
KeywordsAnnulmentArbitrationTribunalAppealConventionLawBusinessPolitical scienceLaw and economicsLegitimacyEconomicsPolitics
DOInot available

Abstract

fetched live from OpenAlex

Parties to an ICSID arbitration are able to seek annulment of an award rendered under the ICSID Convention, but are not able to appeal the merits of the award. This control mechanism was adopted after careful consideration and negotiation as a way to monitor the integrity of ICSID Convention arbitration without imperiling the goal of achieving relatively quick and final resolution of investment disputes. Both Amco Asia v. the Republic of Indonesia and CME v. the Czech Republic raised concerns in the arbitral community; their outcomes seemed to threaten the legitimacy of investor-State arbitration. With Amco Asia the concern was that annulment proceedings might too easily become full-fledged appellate review, thereby undermining the balance between finality and correctness of awards achieved by those designing the ICSID Convention's control mechanism, whereas with CME it was the unavailability of appellate review which seemed problematic. Deciding whether establishment of an appellate mechanism is reasonable depends on the weight given to different objectives served by investor-State arbitration generally and the purpose an appellate body would serve within that framework. An appellate body would, ideally, help to establish systemic regularity and predictability for both investors and States. It is possible, however, that establishing this mechanism would undercut to a significant extent the underlying purpose of the ICSID Convention - the encouragement of foreign direct investment. Moreover, an appellate body would not necessarily be able to resolve all legitimacy issues, and its failure to do so could backfire, generating even more criticism about the integrity of investor-State arbitration. The international arbitral community would be advised to consider these questions carefully before making decisions. Festina lente.

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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.135
Threshold uncertainty score0.265

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 communication0.0000.000
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 head0.006
GPT teacher head0.212
Teacher spread0.206 · 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

Citations32
Published2006
Admission routes1
Has abstractyes

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