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Record W123810670 · doi:10.25916/sut.26286088

Assessment and treatment of sexual offenders in Saskatchewan

2004· article· en· W123810670 on OpenAlexaboutno aff
Amber Hills, Jeffrey E. Pfeifer

Bibliographic record

VenueSwinburne Research Bank (Swinburne University of Technology) · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsRecidivismPsychologyCriminologySexual abuseRisk assessmentPsychiatrySuicide preventionMedicinePoison controlMedical emergencyComputer security

Abstract

fetched live from OpenAlex

The sexual abuse of children is a serious social concern. Thus, sexual offenders must receive accurate assessments and effective treatment programming to minimise re-offence rates. There is ample evidence in the literature to support the assertion that treatment strategies need to be matched to an offender’s level of risk for re-offence, and his or her specific risk factors for re-offence. In terms of males, extra-familial sexual offenders are reportedly more likely to re-offend than are intra-familial sexual offenders. If recidivism rates are indeed higher for extra-familial offenders it follows that the assessment and treatment protocols should be reflective of such. In addition, cultural specificity of assessment and treatment strategies is of great import, especially with respect to Canadian Aboriginal peoples given the rates of Aboriginal peoples in Canadian correctional institutions. Based on this preliminary review of the assessment and treatment of sexual offenders in the Saskatchewan correctional system, potential culture-specific assessment and treatment needs do not appear to be differentially addressed. Additionally, differences in assessment and treatment practices relevant to level of risk do not appear to be present at the provincial level in Saskatchewan. In this paper it is argued that these potential inconsistencies must be examined and empirically investigated in future research and, if indeed present, appropriately addressed in order to provide effective rehabilitation services and to ensure ongoing public safety.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.882
Threshold uncertainty score0.891

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.002
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 head0.053
GPT teacher head0.361
Teacher spread0.308 · 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

Citations0
Published2004
Admission routes1
Has abstractyes

Explore more

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