Balancing Necessity and Individual Rights in the Fight Against Transnational Terrorism: “Targeted Killings” and International Law
Bibliographic record
Abstract
This article explores the restraints international human rights law and international humanitarian law place on a State’s use of lethal force against suspected terrorists. Although the law restricts the ability to target suspected terrorists, it is argued that these limits should be respected in order to protect innocent civilians from undue harm. Under IHRL, it is argued that the right to life as a peremptory norm restricts extra-territorial targeted attacks of suspected terrorists. Accordingly, such action should only be considered lawful when it is necessary to protect the State’s population from a known threat and lesser force would not suffice. Under IHL, it is argued that there is no third category of “unprivileged” or “unlawful” combatants who are subject to lawful targeting for the duration of the hostilities; rather, non-State actors who participate in an armed conflict may be lawfully targeted for the duration of their participation, including an ongoing chain of hostile acts.
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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 | 0.009 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.054 |
| Scholarly communication | 0.011 | 0.012 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.007 | 0.007 |
| 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".