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Record W3161670791 · doi:10.1177/13657127211011236

The exclusion of prison informant evidence for unreliability in New Zealand

2021· article· en· W3161670791 on OpenAlexaboutno aff
Anna High

Bibliographic record

VenueThe International Journal of Evidence & Proof · 2021
Typearticle
Languageen
FieldPsychology
TopicDeception detection and forensic psychology
Canadian institutionsnot available
Fundersnot available
KeywordsPrisonGatekeepingJurySuspectSupreme courtDeferenceCriminologyLawPolitical scienceSociology

Abstract

fetched live from OpenAlex

Prison informant or ‘jailhouse snitch’ evidence is a notoriously unreliable category of evidence. In light of reliability concerns, the New Zealand Supreme Court has adopted a progressive approach to the exclusion of prison informant evidence, centred on greater use of general exclusionary provisions as a threshold of reliability for the admission of suspect evidence. In so doing, the court has shifted the emphasis from deference to the jury as arbiter of ultimate reliability and towards more robust judicial gatekeeping as a safeguard against false testimony. This article critically analyses the New Zealand approach, including by way of comparison with Canada, Australia and England and Wales. The New Zealand approach is presented as a principled and important example of adapting fundamental evidentiary principles and provisions in line with emerging social science evidence. However, in light of the general concerns surrounding this class of evidence, ultimately further safeguards are still needed

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.709
Threshold uncertainty score0.409

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
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 science0.0010.000
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 head0.180
GPT teacher head0.450
Teacher spread0.270 · 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 designOther design
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
Published2021
Admission routes1
Has abstractyes

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