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Record W1662857842 · doi:10.60082/2563-8505.1238

Assessing the Impact of the Ancillary Powers Doctrine on Three Decades of Charter Jurisprudence

2012· article· en· W1662857842 on OpenAlexaffabout
Vanessa MacDonnell

Bibliographic record

VenueSupreme Court law review · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Law and Evidence
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCharterSupreme courtLawJurisprudencePolitical scienceDoctrineCommon lawContext (archaeology)UnavailabilityConstitutional reviewConstitutionLaw and economicsSociologyEngineering

Abstract

fetched live from OpenAlex

This paper seeks to better understand the factors that may have led the Supreme Court of Canada to assume a role in articulating new police powers since the advent of the Charter in 1982. It also attempts to situate the Court’s ancillary powers cases within the context of a larger jurisprudential trend of balancing individual rights against “societal interests” outside of section 1 that has emerged in the Charter case law. The paper suggests that courts may be disposed to create new common law police powers because in some cases, the police have infringed the Charter rights of suspects in a manner that the court finds reasonable or justifiable, but the constitutional machinery upon which it normally relies to give effect to such arguments — that is, section 1 — is functionally unavailable, since the police conduct is not prescribed by law. The court is the refore unable to consider arguments that go to justification unless it identifies a common law source of authority for the police’s actions and/or considers such arguments at some other stage of the analysis. The articulation of new common law police powers has thus emerged as one option for solving the “problem” created by the functional unavailability of section 1. This explanation for the amplification of police powers since the entrenchment of the Charter is tested by examining some of the Supreme Court’s leading police powers decisions.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.727
Threshold uncertainty score0.390

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.086
GPT teacher head0.430
Teacher spread0.343 · 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 teacher head, not a consensus.

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

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

Citations3
Published2012
Admission routes2
Has abstractyes

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