'The Melancholy Truth': Corrective and Equitable Justice for Omar Khadr
Bibliographic record
Abstract
Omar Khadr stands for the melancholy proposition that Canadian courts will recognize a rights violation without demanding an effective remedy. Over the years, Khadr secured many legal remedies, but not the one he sought most: a repatriation order. Why? This paper ventures explanations by viewing the final five Khadr judgments through the lenses of corrective and equitable justice. The final section of the paper recasts the case for the repatriation of Omar Khadr based on two principal arguments. First, a context of structural injustice suggests the application of equitable remedial principles rather than corrective justice, even in the transnational context in which Canada cannot impose structural remedies. Second, the Khadr case suggests that declaratory relief is not an appropriate remedy when delay may cause irreparable harm and where the government may be credibly suspected of bad faith.
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How this classification was reachedexpand
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".