Qualifying Achmea : Investor-State Arbitration, Jurisdictional Conflict and EU Decision-Making
Bibliographic record
Abstract
In 2019, the European Court of Justice shocked the arbitration community with the release of Opinion 1/17. The opinion turned once again to the compatibility of Investor-State Dispute Settlement mechanisms under EU law, finding the provision in Canada’s Comprehensive Economic and Trade Agreement compatible. Yet the ruling appeared at odds with the court’s own case law. Only a year earlier, in Slovak Republic v. Achmea, the court had found the Investor-State Dispute Settlement (ISDS) provision in a Netherlands-Slovakia treaty incompatible. This article examines the two cases to consider the jurisdictional compatibility of investorstate arbitration bodies under EU law. Through a close reading of the judgments, it traces a common thread in the court’s reasoning – the principle of mutual trust. It argues that mutual trust can be seen both as the Court’s metric for limiting the scope of arbitration practice, as well as the source of the court’s autonomy within the EU legal order. In so doing, the paper seeks to resolve the apparent conflicts between these two contrasting cases, while also commenting on the Court’s approach to decision-making more broadly.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".