Killing Citizens: Core Legal Dilemmas in the Targeted Killing Abroad of Canadian Foreign Fighters
Bibliographic record
Abstract
Abstract For the first time since the introduction of the Canadian Charter of Rights and Freedoms, Canada is in an armed conflict with an insurgency that has actively recruited Canadians and directed them to use or promote violence against Canada. In the result, the Canadian government may ask its soldiers to target and kill fellow Canadians abroad or to assist allies in doing so. This situation raises a host of novel legal issues, including the question of “targeted killing.” This matter arose for the United Kingdom in 2015 when it directed the use of military force against several Britons believed to be plotting a terrorist attack against the United Kingdom from abroad. This incident sparked a report from the British Parliament highlighting legal dilemmas. This article does the same for Canada by focusing on the main legal implications surrounding a targeted killing by the Canadian government of a Canadian citizen abroad. This exercise shows that a Canadian policy of targeted killing would oblige Canada to make choices on several weighty legal matters. First, the article discusses the Canadian public law rules that apply when the Canadian Armed Forces deploy in armed conflicts overseas. It then analyzes international law governing state uses of military force, including the regulation of the use of force (jus ad bellum) and the law of armed conflict (jus in bello). It also examines an alternative body of international law: that governing peacetime uses of lethal force by states. The article concludes by weaving together these areas of law into a single set of legal questions that would necessarily need to be addressed prior to the targeted killing of a Canadian abroad.
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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 | 0.008 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.057 | 0.049 |
| Scholarly communication | 0.016 | 0.004 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.010 | 0.010 |
| Insufficient payload (model declined to judge) | 0.005 | 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".