A Long, Strange Trip: Guantanamo and the Scarcity of International Law
Bibliographic record
Abstract
From June of 2004, through June of 2007, I represented Omar Khadr, a detainee at Guantanamo Bay, Cuba. Omar, a Canadian citizen, was 15 years old when captured, and he was - and is - one of the very few detainees facing trial by a military commission. President Obama's decision to close Guantanamo and to put the commission trials on hold leaves us all with questions as to what will happen. This reflection was written in 2007, just about when I stopped representing Omar. The lower federal courts have not, in my view, used international law in any meaningful way in resolving legal claims by the detainees, whether having to do with torture, conditions of confinement or arguments for release, despite the existence of scores of relevant international norms. I continue to represent two other detainees, one from Libya and one from Azerbaijan. Neither can go home, and, despite the closure order, we continue to fight for their release in both the courts and through diplomatic channels.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.006 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".