Learning Canadian Criminal Procedure
Bibliographic record
Abstract
This fifteenth edition has been updated and reorganized. We have removed out-of-date material and have added new cases, including these recent major rulings from the Supreme Court: Bykovets – reasonable expectation of privacy in IP addresses Stairs – search incident to arrest in the home Tessier – cautions re voluntariness of a confession Lafrance – additional consultations with counsel Beaver – “fresh starts” after a Charter violation McColman – seriousness of the offence in exclusion of evidence decisions Kruk – ungrounded common sense assumptions and myths and stereotypes Tayo Tompouba – grounds for appeal A major feature of this edition has been to reorganize the materials, especially those dealing with searches, detentions, arrests, and interrogation, to more closely resemble the structure of a Charter analysis of the relevant rights. Chapter 2, dealing with search and seizure, begins by analysing reasonable expectation of privacy, which establishes whether there was a search at all, and then moves on to consider whether the search was reasonable, looking at the various sources of authorization. In doing this it follows the approach to a s. 8 Charter analysis. Chapter 3 follows a similar structure, looking first at whether there was a detention at all and then whether it was arbitrary, as s. 9 of the Charter requires. Other chapters have been revised to remove older material which no longer provides helpful guidance about the law or to students. Similarly, in many instances cases have been edited further, to give greater focus on the key issues.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.012 | 0.004 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.290 | 0.128 |
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".