Bibliographic record
Abstract
Ten years ago, the Ontario Court of Appeal introduced the investigative detention power to Canada with its decision in R. v. Simpson. After providing some necessary background about the realities of police detention practices, the author offers a critical evaluation of Simpson and the ancillary powers doctrine that it relied upon to create this new police power. The author then proceeds to consider how well the investigative detention experiment has fared over the last decade, examining whether it has lived up to the goal that provided its inspiration, namely, the regulation of police detention practices. The author advances two major claims. First, the investigative detention cases have done little to regulate but much to legitimize police detention practices, mostly serving to blur the line between the detentions they endorse and conventional arrests. Second, the investigative detention experiment holds larger lessons about the dangers inherent when courts, as opposed to legislatures, create police powers. Given these dangers, the paper contends that the ancillary powers doctrine should be rejected as a device for creating complex police powers, like investigative detention. Instead, the author draws upon the dialogue model, already embraced by the Supreme Court of Canada, to offer an alternative approach. He concludes by outlining steps the Court could take to encourage Parliament to finally enact the sort of clear, comprehensive, and prospective rules and procedures that are essential if police detention practices are to be effectively regulated in the future.
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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 | 0.050 | 0.071 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.038 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.010 | 0.014 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".