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Record W2202211952

The Privilege Against Self-Incrimination: Too Strong, Too Weak, or Both?

2005· article· en· W2202211952 on OpenAlexaff
Hamish Stewart, Erica Bussey

Bibliographic record

VenueSSRN Electronic Journal · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Law and Evidence
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCredibilityWitnessInterpretation (philosophy)ReinterpretationCross-examinationLawSection (typography)Privilege (computing)Admissible evidencePolitical scienceCharterSelf-incriminationPsychologyPhilosophyComputer science
DOInot available

Abstract

fetched live from OpenAlex

Section 13 of the Charter provides that [a] witness who testifies in any proceedings has the right not to have any evidence so given used to incriminate that witness in any As currently interpreted, this provision permits the Crown to cross-examine the accused on his testimony from another proceeding for the limited purpose of impeaching his credibility, yet prevents the Crown from using the accused's testimony from his own previous trial for any purpose. The authors argue that this interpretation of section 13 is both too strong and too weak. It is too strong in that it enables the accused to try out different defences in different trials without the trier of fact being given an opportunity to reconcile the differences; yet it is too weak in that the distinction between incriminating and credibility-attacking uses of the accused's testimony from proceedings is too frail to be sensibly applied. The authors illustrate the difficulties generated by the current interpretation of section 13 through a discussion of the decision in R. v. Henry (2003), 179 C.C.C. (3d) 307 (B.C. C.A.). Finally, the authors recommend that section 13 should be reinterpreted so that the admissibility of the accused's prior testimony would not depend on the distinction between incrimination and credibility, but that the accused's previous trial on the same offence would not be considered other proceedings. Under this reinterpretation, the Crown would be unable to use the accused's prior testimony from proceedings for any purpose, but would be free to use the accused's testimony from a previous trial on the same charge for any purpose.

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)0.026
metaresearch head score (Gemma)0.074
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: Empirical · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.137

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0260.074
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0050.046
Scholarly communication0.0200.018
Open science0.0030.005
Research integrity0.0190.020
Insufficient payload (model declined to judge)0.0030.002

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 head0.020
GPT teacher head0.311
Teacher spread0.291 · 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
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

Citations1
Published2005
Admission routes1
Has abstractyes

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Same venueSSRN Electronic JournalSame topicCriminal Law and EvidenceFrench-language works237,207