The law of strangers: The form and substance of other-regarding international adjudication
Bibliographic record
Abstract
The ever-intensifying trends of global interdependence have created a complex reality in which decisions of sovereign states, like those of international courts, radiate far beyond their traditional confines, affecting the interests of a range of strangers (third states, individuals, corporations, and others), without being politically accountable to them. Could and should international courts narrow these accountability gaps by insisting that states take the interests of disregarded strangers into account and by opening the courts’ own doors to the strangers affected by their judgments? In this article, we analyze the judicial commitment to bridge these accountability gaps toward globally affected others by (a) ratcheting up the substantive and procedural duties that states owe to strangers affected by their national policies and (b) by facilitating the consideration and voice of affected strangers in the adjudication process itself. In analyzing these two other-regarding judicial responses, we focus on one pivotal site of global judicial governance, the World Trade Organization dispute settlement system (WTO DSS). Based on a close analysis of the rich WTO jurisprudence, the article shows that since its inception in 1995, other-regarding considerations have played a significant role in the WTO DSS operation. This WTO’s adjudicative philosophy of regard for others, the article argues, demonstrates an evolving judicial sensitivity to the challenges of accountability and voice generated by globalization at the national and international levels.
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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 | 0.022 | 0.039 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.086 |
| Scholarly communication | 0.020 | 0.010 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".