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Record W6920597455 · doi:10.60770/pev6-vx16

A Comprehensive Analysis of Section 24(2) of the Canadian Charter of Rights and Freedoms and the Evolving Evidentiary Rule

2024· article· en· W6920597455 on OpenAlexaffabout

Bibliographic record

VenueMRU-Repo · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Law and Evidence
Canadian institutionsMount Royal University
Fundersnot available
KeywordsSupreme courtCharterConstitutionCriticismTest (biology)State (computer science)Scope (computer science)Section (typography)

Abstract

fetched live from OpenAlex

The Supreme Court of Canada’s (SCC) evolving understanding of section 24(2) of the Canadian Charter of Rights and Freedoms has been informed largely by three landmark cases. In R. v. Collins (1987), R. v. Stillman (1997), and R. v. Grant (2009), the Court was required to consider the scope, applicability, and impact of the Charter. The Court’s most recent decision, R. v. Grant (2009), represented a major change to Canada’s constitutional exclusionary rule. A critical analysis of the Grant test will evaluate whether s. 24(2) provides a test that is rigorous enough to preserve the integrity of the administration of justice. This thesis will address criticism relating to the notion that the police conduct inquiry has become a determinative factor governing the admissibility of evidence. Under the first line of inquiry, the Court provides greater leeway for police conduct at the expense of individual rights and freedoms. This creates an imbalance between competing societal and state interests. A newly articulated s. 24(2) test that expands the scope of Charter-protected rights and constrains police powers will attempt to resolve this tension. This will be achieved by incorporating privacy interests into the s. 24(2) consideration and placing limitations on the concept of good faith. In doing so, this test will allow the Constitution to progressively adapt to changing societal needs, increasing knowledge, and technological advancements. These modifications will achieve a better balance between the rights-protection and truth-seeking functions of s. 24(2).

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.631
Threshold uncertainty score0.282

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.021
GPT teacher head0.286
Teacher spread0.265 · 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 designObservational
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

Citations0
Published2024
Admission routes2
Has abstractyes

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