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Record W4392019252 · doi:10.1093/icsidreview/siae001

EU Investment Protection Law: Chapter Eight of CETA, the Vietnam and Singapore Free Trade Agreements and EU Regulations 1219/2012, 912/2014 and 2019/452. Article-by-Article Commentary

2024· article· en· W4392019252 on OpenAlexaboutno aff
Robert G. Volterra, Angela Ha

Bibliographic record

VenueICSID Review - Foreign Investment Law Journal · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsnot available
Fundersnot available
KeywordsInvestment protectionInvestment (military)LawForeign direct investmentPolitical scienceFree tradeInternational tradeBusinessInternational investmentPolitics

Abstract

fetched live from OpenAlex

In recent years, EU investment protection law has found itself at a crossroads. Indeed, there is a widespread perception outside Brussels that the European Commission has replaced its long-standing previous commitment to protect European foreign investors with a desire to achieve the internal EU constitutional perquisites that it covets. The year of 2018 saw the landmark ruling of the Court of Justice of the European Union in Slowakische Republik v Achmea BV that intra-EU investment-treaty arbitration was incompatible with EU law.3 This was rapidly followed by the 2020 Agreement for the Termination of Bilateral Investment Treaties between the Member States of the EU,4 through which almost all EU Member States committed to terminate intra-EU bilateral investment treaties (BITs) on the basis of incompatibility between their investment-treaty arbitration clauses and EU law. Against this backdrop, the EU’s Comprehensive Economic and Trade Agreement with Canada (CETA) was the first EU trade agreement to provide a framework for the EU’s pet project of standing judicial bodies to resolve investment-treaty disputes, to replace arbitration, such as ad hoc UNCITRAL or ICSID 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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.788
Threshold uncertainty score0.859

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 studies0.0010.000
Scholarly communication0.0010.002
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 head0.017
GPT teacher head0.228
Teacher spread0.211 · 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
GenreCommentary

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
Published2024
Admission routes1
Has abstractyes

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