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Record W2783009311 · doi:10.54648/gtcj2018004

Prior Judicial Involvement in Investor-State Dispute Settlement: Lessons from the Courts Rhetoric in Opinion 2/15

2018· article· en· W2783009311 on OpenAlexaboutno aff
Hannes Lenk

Bibliographic record

VenueGlobal Trade and Customs Journal · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsnot available
Fundersnot available
KeywordsLawPolitical scienceMajority opinionEuropean unionConcurring opinionMember stateCourt of recordEconomicsOriginal jurisdictionSupreme courtInternational tradeMember states

Abstract

fetched live from OpenAlex

The Court of Justice of the European Union has long protected the integrity of the Union legal order from external impact of judicial and normcreating processes. Initially concerned with the harmonious interpretation and application of Union law, the principle has gradually developed into a shield that protects the judicial prerogatives of the Court against international courts and tribunals. Now, the Court stands before a new challenge; Opinion 1/17 on the compatibility of the Comprehensive Economic and Trade Agreement between the EU and Canada was only very recently registered on the Court ’ s docket. The assessment of core features of the post-Lisbon trade and investment policy, not least the investment court system, will be eagerly awaited. But the recent judgment of the Court in Opinion 2/15 over the allocation of competences for the conclusion of the EU – Singapore free trade agreement may already entail some hints as to the Court ’ s stand on investor-State dispute settlement provisions. In fact, the Court ’ s rhetoric resembles statements made previously in the context of the European Patents Court in Opinion 1/09. The Court is in particular concerned with the profound effect of investor-State tribunals on domestic courts in the Member States, who are deprived of hearing disputes that would otherwise come before them. In terms of competence allocation, this removes the investor-State dispute settlement provisions from the purview of exclusive Union competences. In terms of compatibility, it may put these mechanisms, and incidentally the investment court system, on a collision course with the principle of autonomy of the Union legal order.

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)0.000
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: Empirical
Teacher disagreement score0.606
Threshold uncertainty score0.478

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.030
GPT teacher head0.271
Teacher spread0.242 · 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
Published2018
Admission routes1
Has abstractyes

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