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Record W2590945711

Telus: Asking the Right Questions About General Warrants

2013· article· en· W2590945711 on OpenAlexaffabout
Steve Coughlan

Bibliographic record

VenueeYLS (Yale Law School) · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Law and Evidence
Canadian institutionsDalhousie University
Fundersnot available
KeywordsWarrantArgument (complex analysis)Supreme courtStatutory lawLaw and economicsLawLimitingPoint (geometry)Political scienceBusinessEconomicsEngineeringMathematics
DOInot available

Abstract

fetched live from OpenAlex

The general warrant provisions in the Criminal Code have often been interpreted by lower courts in a way which threatens to make that power quite open-ended, and to make those warrants available as a way of making an "end run" around the requirements of other provisions. This note argues that the Supreme Court of Canada is correct, in Telus,to adopt a "substantive equivalence" approach to general warrants, thereby limiting the circumstances in which they can be used. Lower courts have sometimes taken the view that a general warrant is only unavailable if the proposed technique would fall squarely within some other statutory provision. That approach opens the door to the argument that "the application would not succeed under that other provision, therefore a general warrant can be used." That, in fact, is precisely the argument that the "substantively equivalent" argument is meant to prevent. The proper approach is to ask not "would this application succeed under another section", but "whether this application would succeed or fail under another section, is that other section the governing authority." That is the point of looking for substantive equivalence: to locate those situations where the rules have anticipated investigative techniques such as the one in question and have decided they are not permitted. It is to see to it that the limits consciously attached to those other procedures continue to control the application. The Court has therefore taken a significant step to confine general warrants within proper bounds. The article also pursues the implications of the concurring opinion that text messages constitute "private communications" for wiretap purposes, noting that this conclusion would have significant effects on many other investigative techniques.

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 imitation

Not 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.

metaresearch head score (Codex)0.017
metaresearch head score (Gemma)0.052
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.098
Threshold uncertainty score0.194

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.052
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0090.036
Scholarly communication0.0130.029
Open science0.0030.005
Research integrity0.0170.019
Insufficient payload (model declined to judge)0.0130.003

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.

Opus teacher head0.022
GPT teacher head0.299
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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".

Quick stats

Citations0
Published2013
Admission routes2
Has abstractyes

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Same venueeYLS (Yale Law School)Same topicCriminal Law and EvidenceFrench-language works237,207