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Record W3021807790 · doi:10.2861/179760

EU investment protection after the ECJ opinion on Singapore:Questions of competence and coherence

2019· report· en· W3021807790 on OpenAlexaboutno aff
Steffen Hindelang, Jurgita Baur, Stephan W. Schill

Bibliographic record

VenueUniversity of Southern Denmark Research Portal (University of Southern Denmark) · 2019
Typereport
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsnot available
FundersH2020 European Research Council
KeywordsCompetence (human resources)Coherence (philosophical gambling strategy)Political sciencePsychologySocial psychologyMathematicsStatistics

Abstract

fetched live from OpenAlex

English: Investment protection continues to be a controversial issue, as shown in particular during the negotiations on the EU-US Transatlantic Trade and Investment Partnership (TTIP) and the EU-Canada Comprehensive Economic and Trade Agreement (CETA). To address stakeholder concerns, the EU has moved from traditional investor-state dispute settlement arrangements towards introducing bilateral investment court systems in new agreements and pursuing the goal of establishing a permanent multilateral investment court. At the same time, the European Court of Justice defined the limits of the Union’s exclusive competence in its opinion of 16 May 2017 with regard to the EU-Singapore Free Trade Agreement (FTA), which has led to the splitting of new FTAs into two parts, treating investment protection separately. Adding to the complex picture, a plethora of EU Member States’ bilateral investment treaties also remain in place. The workshop held by the Committee on International Trade took stock of existing EU investment protection provisions and analysed the options for a coherent and predictable dispute settlement system in line with the EU Treaties.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.585
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.054
GPT teacher head0.256
Teacher spread0.202 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2019
Admission routes1
Has abstractyes

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