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Record W7019082640

The European Union’s Emerging Approach to ISDS: a Review of the Canada-Europe CETA, Europe-Singapore FTA, and European-Vietnam FTA

2016· article· en· W7019082640 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsnot available
Fundersnot available
KeywordsPrinciple of legalityEuropean unionBalance (ability)International arbitrationCore (optical fiber)ArbitrationSovereigntyBalance of interests
DOInot available

Abstract

fetched live from OpenAlex

The European Union’s approach to ISDS is examined based on the available textual evidence in proposed or negotiated trade agreements. The evaluation focuses on three criteria: judicial independence, procedural fairness, and balance in the allocation of rights and responsibilities. Each criteria arises from concerns about the powerful and far-reaching arbitration mechanism at the core of ISDS and its role to decide the legality of sovereign conduct and allocate public funds to foreign investors. The main conclusions are that, in pursuing a massive expansion of ISDS in new trade agreements, the European Union has taken only partial steps on the issue of independence, has signalled but not carried through with steps on the issue of procedural fairness, and has not taken steps to balance investor rights with investor responsibilities or to ensure respect for the role of domestic courts.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.658
Threshold uncertainty score0.679

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.019
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0120.025
Science and technology studies0.0050.013
Scholarly communication0.0130.006
Open science0.0020.002
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.209
Teacher spread0.195 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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
Published2016
Admission routes1
Has abstractyes

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