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Record W4400953920 · doi:10.54648/eila2017003

The EU’S Proposed Investment Court and WTO Dispute Settlement: A Comparison and Lessons Learned

2017· article· en· W4400953920 on OpenAlexaboutno aff
Naboth van den Broek, Danielle Morris

Bibliographic record

VenueEuropean Investment Law and Arbitration Review Online · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsnot available
Fundersnot available
KeywordsSettlement (finance)Investment (military)International tradeBusinessPolitical scienceLawInternational economicsEconomicsFinancePolitics

Abstract

fetched live from OpenAlex

Investor-state dispute settlement (ISDS) has been a prominent feature of bilateral investment treaties that have proliferated since the mid-20th century. Perhaps in part due to its popularity, ISDS has recently been subject to significant criticism. The European Union has proposed a reconception of ISDS in the Comprehensive Economic and Trade Agreement with Canada (CETA), which was signed on 30 October 2016, in its proposed Investment Chapter for the Transatlantic Trade and Investment Partnership (TTIP) which it was negotiating with the United States until those negotiations were effectively paused in early 2017, as well as in several other policy documents and free trade agreements. The EU’S proposed “Investment Court System” (ICS) in particular, would make resolution of investment disputes more similar to the World Trade Organisation’s (WTO) state-to-state dispute settlement mechanism for trade disputes and, as the EU sees it, would form the basis for a broader restructuring and multilateralisation of investment protection worldwide. This article examines the EU’S proposed approach and aims to compare key aspects of its Investment Court mechanism to the WTO. Where possible, we also consider some of the lessons learned from the WTO and how they compare to the EU’S proposed Investment Court System.

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 categoriesScience and technology studies, Scholarly communication
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 score0.985
Threshold uncertainty score1.000

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 studies0.0020.001
Scholarly communication0.0010.001
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 head0.057
GPT teacher head0.315
Teacher spread0.259 · 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.

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
Published2017
Admission routes1
Has abstractyes

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