Locating and Situating Justice Pal: TWAIL, International Criminal Tribunals, and Judicial Powers
Bibliographic record
Abstract
Abstract This paper brings forward Justice Pal's dissenting opinion at the Tokyo Tribunal to add to Third World Approaches to International Law (TWAIL) literature on international criminal law and the rules of evidence and procedure. It is part of a TWAIL effort to scrutinize the everyday practices of international prosecutions through procedural and evidentiary rules. By locating and situating Justice Pal's reasoning within the broader academic literature on dissents in international criminal law, it is possible to illustrate how and why Justice Pal's views were obscured as a relevant dissent. From this vantage point, this paper pursues Justice Pal's legacy as it relates to the rules of evidence and procedure in the International Criminal Tribunal for the Former Yugoslavia and International Criminal Tribunal for Rwanda. It traces the evolution of the judicial power to draft and amend these rules, and examines the impact of these decisions on the everyday functions of the tribunals and how truth is determined.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.009 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.042 |
| Scholarly communication | 0.014 | 0.010 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".