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Record W2981777847

Preventing False Confessions: Is Oickle Up to the Task?

2007· article· en· W2981777847 on OpenAlexaboutno aff
Dale R. Ives

Bibliographic record

VenueDigital USD (University of San Diego) · 2007
Typearticle
Languageen
FieldPsychology
TopicDeception detection and forensic psychology
Canadian institutionsnot available
Fundersnot available
KeywordsTask (project management)PsychologyComputer scienceComputer securityEconomics
DOInot available

Abstract

fetched live from OpenAlex

In R. v. Oickle, the Supreme Court of Canada expressly stated that the Canadian confessions rule "should recognize which interrogation techniques commonly produce false confessions so as to avoid miscarriages of justice." As a result, the Court reformulated the traditional confessions rule in an attempt to better protect against false confessions. An obvious question is whether the Court succeeded in attaining this goal. An examination of the reformulated rule indicates that, viewed in the abstract and measured against the current state of knowledge on false confessions, the modern rule does offer considerable protection to innocent persons, but it also has some significant shortcomings. Additional reforms are necessary to further reduce the risk of false confessions. These reforms should include greater judicial recognition of the individual risk factors associated with false confessions, mandatory videotaping of interrogation, and direct regulation of particular interrogation tactics. The Court should also consider incorporating a post-confession reliability analysis into the modern confessions rule.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.380
Threshold uncertainty score0.998

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.002

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 head0.027
GPT teacher head0.289
Teacher spread0.261 · 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; both teacher heads agree on what is shown here.

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

Citations4
Published2007
Admission routes1
Has abstractyes

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