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Record W3027994594 · doi:10.17863/cam.48066

The International Responsibility of the European Union in International Economic Law

2018· dissertation· en· W3027994594 on OpenAlexaboutno aff
Emilija Leinarte

Bibliographic record

VenueApollo (University of Cambridge) · 2018
Typedissertation
Languageen
FieldSocial Sciences
TopicEU Law and Policy Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsEuropean unionInternational lawPolitical scienceEuropean Union lawLawInternational tradeLaw and economicsEconomics

Abstract

fetched live from OpenAlex

The International Law Commission’s Draft articles on the international responsibility of organizations (DARIO) do not distribute international responsibility between the EU and its Member States. The DARIO framework determines whether a particular entity is internationally responsible. Responsibility in a multi-layered structure like the EU, where sovereignty is shared between separate legal persons, raises additional, important questions that fall outside the scope of DARIO. While a state can transfer its competences to an international body, its international obligations are non-transferable. I argue that both the EU and its Member States are independently responsible for joint obligations, such as under mixed agreements. This principle of independent responsibility, however, provides only a partial answer to the question of shared responsibility. That the responsibility of the EU and its Member States can be invoked does not tell us whether the EU, its Member States, or both, will be responsible in a given situation. The complex task of distributing shared responsibility remains. This study finds that in international economic law the focus of international dispute-settlement bodies is not on the responsible party, but on a party best placed to bear responsibility. Remedies for violations of international economic obligations have a restorative rather than corrective purpose. Accordingly, attribution of conduct is largely irrelevant for the distribution of shared responsibility between the EU and its Member States. Instead, shared responsibility typically raises the question of the proper respondent(s). This thesis argues that whether the EU or its Member States, or both, are the proper respondent(s) in a given dispute to a large extent depends on the nature of the treaty regime in question. An extensive analysis of case law under the World Trade Organization (WTO) and the Energy Charter Treaty (ECT) regimes reveals the underlying rationales for the identification of the proper respondent(s). I suggest that the WTO Dispute Settlement Body follows the positive solution test under which the panels address their recommendations to the entity which is necessary to ensure compliance with WTO law. Under the ECT regime, where the primary remedy is compensation, arbitral tribunals focus on the entity which is the proximate cause of the alleged harm. Building on the analysis of the nature of the WTO and the ECT regimes, I explain why the EU is the optimal respondent under the WTO regime, whereas Member States are the primary respondents in investment disputes. The findings of this thesis are then applied to the question of responsibility of the EU and its Member States under new-generation free trade agreements, such as the EU-Canada Comprehensive Economic and Trade Agreement (CETA). I suggest that investment chapters of new-generation treaties modify the usual patterns of the optimal respondents through procedural techniques which allow the EU to assume responsibility on behalf of its Member States.

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)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.016
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0050.033
Scholarly communication0.0160.016
Open science0.0010.005
Research integrity0.0080.011
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 head0.011
GPT teacher head0.267
Teacher spread0.256 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2018
Admission routes1
Has abstractyes

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