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Record W3124452791

Confessions to Mr. Big: A New Rule of Evidence?

2016· article· en· W3124452791 on OpenAlexaboutno aff
Brendon Murphy, John Anderson

Bibliographic record

VenueResearch Bank (Australian Catholic University) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsnot available
Fundersnot available
KeywordsSupreme courtScrutinyLegislationJurisprudenceLawContext (archaeology)Extant taxonCommon lawPolitical scienceHistory
DOInot available

Abstract

fetched live from OpenAlex

In Queen v Hart, the Supreme Court of Canada recognised what was described as a 'new rule of evidence' concerning confessions obtained during 'Mr Big' operations. This undercover policing technique is known to be a time-intensive but effective strategy in the investigation of cases in which suspects are highly secretive. In Hart, the Canadian Supreme Court recognised the value of this form of investigation, but emphasised that such strategies require careful scrutiny by the judiciary because of the potential for unethical policing and the unreliability of confessions in cases where this evidence is obtained in association with 'entrapment' strategies. This article examines the 'novel' jurisprudence in Hart, and considers its utility in the context of other common law countries, particularly Australia where uniform evidence legislation applies in the majority of jurisdictions. Ultimately it is contended that the 'new rule of evidence' in Hart is effectively a specific adaptation of well-known rules of evidence in the extant common law and legislation of Australia, England and New Zealand and, therefore, of limited utility outside Canada.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.835
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.558
GPT teacher head0.501
Teacher spread0.057 · 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.

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

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

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