Catch and Release: A Role for Preventive Detention Without Charge in Canadian Anti-Terrorism Law
Bibliographic record
Abstract
Since 2001, preventive detention has become almost commonplace as a means of “incapacitating” terrorist networks. No other development — with the possible exception of the use of extreme interrogation techniques — has been as controversial, or as uncomfortably reconciled with conventional legal practices. But there are legitimate uses of preventive detention that respect the legal principles of protection of civil liberties.This study proposes lessons for Canada from state practices in the United States, the United Kingdom and Australia since 9/11 that might reasonably guide the development of an appropriate system of preventive detention; specifically, one that is maximally effective within a sphere of tolerable restrictions on civil liberties. It does so in four sections. In the first section, the study compares several models that are essentially systems of preventive detention. In the second section, it examines the Canadian legal environment in which any discussion of preventive detention must be situated. The study highlights the extent to which Canadian law already empowers the state to preempt terrorist activity. The author concludes that while the gap that might reasonably be filled by a separate system of preventive detention is narrow, it does exist. In the third section, the study proposes, first, criteria for measuring the public safety effectiveness of such a system and, second, a zone of tolerable civil liberty restrictions. In the last section the author draws on these criteria and prior practice to propose a model for the Canadian system of preventive detention.The author proposes a model that balances effectiveness and civil liberties. He identifies as a legitimate concern the narrow circumstances where the state (1) has reason to believe that a terrorist attack will occur; (2) has reason to believe that a particular group is behind the plot and that the suspect is a member of that group; but (3) has no information, other than this belief, to connect that particular individual to the plot. In these circumstances, conventional legal instruments allowing the state to disrupt that threat through detention of the individual may not be available. In that narrow space, there are arguments in favour of preventive detention.The author suggests that section 83.3 of the the 2001 Anti-terrorism Act, the anti-terrorism provision allowing short-term detention in circumstances where conventional arrest powers could not be exercised, was a reasonable approach. He proposes a revamped section-83.3 process that adds certain other civil liberties safeguards and also permits the constrained use of secret evidence and special advocates. The net result is a system of “catch and release” (or catch and release subject to a peace bond) that focuses on disruption of a threat via the short-term detention of persons who are tied to specific threats. The author rejects approaches that detain solely on the basis of perceived inherent dangerousness.
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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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.018 | 0.018 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".