Arbitrator Behaviour in Asymmetrical Adjudication (Part Two): An Examination of Hypotheses of Bias in Investment Treaty Arbitration
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article reports on a study of potential systemic bias in the resolution of ambiguous legal issues by investment treaty arbitrators. It outlines tentative but significant findings that the arbitrators in general tended to favour (1) foreign investors over states overall, (2) foreign investors from major Western capital-exporting states over other foreign investors, and, albeit based on more limited data, (3) the United States as a respondent state over other respondent states. The evidence is derived from an extensive content analysis of the arbitrators’ resolution of fourteen legal issues that are contested among arbitrators or in secondary literature. The findings clearly support initial expectations of systemic bias arising from unique incentives of the arbitrators. Yet the study also has important limitations and there is a range of possible explanations for the findings, some not raising concerns of inappropriate bias. Broadly, the findings lend support to perceptions that the design of investment treaty arbitration does not support fair and independent adjudication of the boundaries of sovereign authority and of disputes involving public funds.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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 it