MétaCan
Menu
Back to cohort
Record W4389781326 · doi:10.35502/jcswb.332

The police as formal agents of change: Assisting desistance in individuals convicted of sexual offences

2023· article· en· W4389781326 on OpenAlexvenueno aff
Sarah Pemberton, Stephanie Kewley, Leona Mydlowski

Bibliographic record

VenueJournal of Community Safety and Well-Being · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsCriminologyPrisonCriminal justiceAgency (philosophy)PsychologyRecidivismWork (physics)SociologyEngineering

Abstract

fetched live from OpenAlex

Comprehensive and multi-disciplinary public health approaches are necessary to prevent sexual re-offending. However, criminal justice solutions continue to dominate and the arrangement in England and Wales is no exception. The introduction of the Multi-Agency Public Protection Arrangements (MAPPA) in 2003 brought together the work of the police, prison and probation services in order to manage violent and sexual offenders. This paper focuses specifically on the work of the specialist police officers who are tasked under MAPPA with the Management of Sexual or Violent Offenders (MOSOVO) and whether or not they can assist desistance in those who have been convicted of a sexual offence. We argue that the risk-based, highly politicized model of public protection that MOSOVO staff operate within creates tensions more likely to hinder than facilitate desistance. As indicated by findings in an independent review of the police’s management of registered sex offenders (2023), successful desistance journeys are found in people who are supported by formal agents who actively promote hope and optimism and convey a belief that the person attempting desistance can change. In conclusion, we recommend that MOSOVO staff be willing and resourced to help individuals with sexual convictions develop a non-offending lifestyle and identity and support them in achieving this goal, which requires the provision ofcomprehensive support beyond risk management.

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)0.005
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.157
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.069
GPT teacher head0.355
Teacher spread0.286 · 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 designQualitative
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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Community Safety and Well-BeingSame topicCriminal Justice and Corrections AnalysisFrench-language works237,207