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Record W2137114486 · doi:10.6000/1929-4409.2012.01.14

‘Everybody Knows that the Prisoner is Going Nowhere’: Parole Board Members’ Views about Dangerous and Severe Personality Disorder in England and Wales

2012· article· en· W2137114486 on OpenAlexvenueno aff
Julie Trebilcock, Tim Weaver

Bibliographic record

VenueInternational Journal of Criminology and Sociology · 2012
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsnot available
Fundersnot available
KeywordsPersonalityPsychiatryPsychologyPopulationCriminologyMedicineSocial psychology

Abstract

fetched live from OpenAlex

The Dangerous Severe Personality Disorder (DSPD) Programme has been a controversial initiative in England and Wales. First introduced in 1999, DSPD became a highly contested operational as opposed to diagnostic term, used to define a population convicted of violent offences who were admitted for treatment within one of four high security units established for men. The aim of this paper is to explore the outcomes of Parole Board (PB) reviews with DSPD prisoners and investigate PB members’ views about DSPD. Nearly all PB members observed that the high security location of the DSPD units was more influential to their decision-making than the label of DSPD. PB members highlighted their expectation that DSPD prisoners make a journey through different levels of security before release is an appropriate consideration. A key finding was that admission to DSPD services could be seen to have disrupted a prisoner’s progression and challenged PB members’ conceptions of the appropriate (and likely) future progression pathways available to prisoners. These findings have implications not only for the development of the new offender personality disorder pathway in England and Wales but also for other jurisdictions seeking to respond to the long-standing question of how to respond to high risk offenders with personality disorder.

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)0.000
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 score0.118
Threshold uncertainty score0.649

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.075
GPT teacher head0.355
Teacher spread0.280 · 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

Citations18
Published2012
Admission routes1
Has abstractyes

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