Venus, Mars, and Brussels: Legitimacy and Dispute Settlement Culture in Investment Law and WTO Law: A Response to Joost Pauwelyn
Bibliographic record
Abstract
Late last year, the European Commission unveiled an ambitious and complex proposal to replace investor-state arbitration with a transnational court, including an appellate instance, which has now been incorporated into its new bilateral agreements with Vietnam and Canada (CETA). The Commission was responding to strong public resistance to including investor protections in the Transatlantic Trade and Investment Partnership (TTIP), the trade and investment agreement being negotiated between the European Union and the United States. This resistance reflects a remarkable shift in emphasis from the World Trade Organization (WTO) to the investment regime in what could be called loosely the antineoliberal globalization movement. The overarching concern is that international decision-makers with a neoliberal or procorporate bias will limit the policy space of sovereign states, especially in sensitive areas such as public services, the environment, health, and safety. While it is arguable that few of the actual outcomes in investor-state disputes can properly be understood in this way, the pursuit by Philip Morris of its attack on tobacco regulation through the investment regime has certainly provided a very obvious example for the activists. (The defeat of that challenge on jurisdictional grounds doesn’t really provide assurance about the substantive norms at issue and their consistency with policy space.)
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.020 | 0.035 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.017 | 0.044 |
| Scholarly communication | 0.031 | 0.014 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.018 | 0.017 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
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 source (direct Gemma or distilled Codex), 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".