The Abuse of Ambiguity: The Uncertain Status of Omar Khadr under International Law
Bibliographic record
Abstract
Summary This article addresses the unresolved question of the international legal status, and resulting rights, of Omar Khadr — a Canadian national detained by the United States on the battlefield in Afghanistan at the age of fifteen and subsequently incarcerated at Guantanamo Bay. The article focuses primarily on Khadr’s potential status as an “unlawful combatant” and as a child soldier. Acknowledging that there has been a great deal of scholarly debate surrounding these issues, it provides an overview of this debate through the lens of Khadr’s particular case. As the author observes, international law surrounding each aspect of Khadr’s status is far from clear. However, even accepting the existence of controversy and ambiguity surrounding Khadr’s status, the author argues that the United States and Canada have, seemingly, sought to exploit this ambiguity in order to justify disregard for his rights. The article concludes by observing that this approach is, in itself, contrary to the foundational principles of international humanitarian law.
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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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.032 | 0.042 |
| Scholarly communication | 0.014 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.005 |
| 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".