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Record W2063396847 · doi:10.1375/pplt.2004.11.1.96

An Empirical Study on the Relationship Between Intellectual Ability and an Understanding of the Legal Process in Male Remand Prisoners

2004· article· en· W2063396847 on OpenAlexaboutno aff
Felicity Parton, Andrew Day, Jack White

Bibliographic record

VenuePsychiatry Psychology and Law · 2004
Typearticle
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsnot available
FundersCouncil of Science and Technology, U.P.
KeywordsRemand (court procedure)PsychologyBorderline intellectual functioningIntellectual disabilityCriminal justiceCriminal courtCriminologyQuarter (Canadian coin)Empirical researchLawPolitical sciencePsychiatryCognitionInternational lawHistory

Abstract

fetched live from OpenAlex

Research conducted in Australia and around the world in the last decade has shown that people with significant intellectual impairments are over-represented in all areas of the criminal justice system. They are particularly over-represented in remand populations appearing before court. Previous research has suggested that as many as one-quarter of offenders facing sentencing in court have difficulty in understanding court procedures and it is suspected that a majority of these individuals suffer a significant intellectual impairment. The purpose of this study was to establish whether remandees with significant intellectual impairments (IQ < 70) have an accurate understanding of the court system. Seventy-four remand prisoners took part in the study. Remandees with an IQ of less than 70 demonstrated a significantly poorer understanding of the court system than those remandees with an IQ of 70 and above. The implications of these results are discussed in relation to the need for law reform and diversionary practices for this population of remandees.

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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.426

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 integrity0.0000.001
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 head0.158
GPT teacher head0.472
Teacher spread0.314 · 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

Citations9
Published2004
Admission routes1
Has abstractyes

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