Ce qui est abusif au sens de l'article 8 de la Charte canadienne lors de la recherche de preuves
Bibliographic record
Abstract
In determining whether legislation permitting search and seizure properly meets the requirements of section 8 of the Canadian Charter of Rights and Freedoms, the courts have been obliged to balance the right of the individual to be secure against unreasonable search and seizure with the right of the state to ensure compliance with the law. In Hunter v. Southam, the Supreme Court of Canada established the minimum criteria of reasonable search and seizure for the purposes of section 8. The liberal approach adopted by the Supreme Court raises an important question : Should the same criteria apply to administrative statutes empowering bodies to conduct inquiries and inspections ? The author compares section 8 of the Charter with the American 4th Amendment, examining the requirement for search warrants in the light of Canadian cases. He then examines and discusses the case law concerning the applicability of section 8 to statutory provisions relating to the production of documents and the standard of reasonableness that should apply to these situations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.013 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.014 |
| Scholarly communication | 0.017 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.011 | 0.014 |
| Insufficient payload (model declined to judge) | 0.011 | 0.004 |
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".