The Need to Make Sense of a Practice in Investment Arbitration: A Response to Eric De Brabandere
Bibliographic record
Abstract
Abstract In his article entitled ‘The (Ir)relevance of Transnational Public Policy in Investment Treaty Arbitration – A Reply to Jean-Michel Marcoux’, Eric De Brabandere argues that transnational public policy does not have any significant role to play in investment treaty arbitration, both as a matter of principle and as an avenue to address human rights violations by foreign investors. The present response suggests that a more fundamental point of disagreement between our positions relates to the role of the practice of tribunals in shaping legal norms in international investment law. Inspired by the ‘practice turn’ in the study of international law, it suggests that the relevance and the normativity of transnational public policy are constituted by the practice of tribunals. Addressing human rights violations as an integral part of transnational public policy can thus be considered as a potential evolution of this practice in investment arbitration.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".