MétaCan
Menu
Back to cohort
Record W2085497152 · doi:10.1177/1057567710373115

Risk, Need, and Responsivity: Unrealized Potential for the International Delivery of Substance Abuse Treatment in Prison

2010· article· en· W2085497152 on OpenAlexaboutno aff
Jennifer M. Jolley, John J. Kerbs

Bibliographic record

VenueInternational Criminal Justice Review · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsRecidivismPrisonScholarshipService delivery frameworkService (business)Socioeconomic statusCriminologyPublic relationsMultidisciplinary approachBusinessPolitical sciencePsychologyMedicineLawEnvironmental healthMarketingPopulation

Abstract

fetched live from OpenAlex

Drawing from a strong Canadian and U.S. base of literature and an emergent base of scholarship from the United Kingdom, this article examines the delivery of substance abuse treatment in prisons and the determinants of prisoner access to and use of services. To date, multidisciplinary research provides evidence of supply-side programs driven by organizational factors that affect access and use; in contrast, there is a dearth of literature on demand-side programs driven by prisoners’ needs. Guiding this analysis is a model for service delivery that integrates supply- and demand-side factors into a framework that traces the pathway of prisoners through programs, beginning with assessment and ending with treatment outcomes. At the core of this analysis is an expanded discussion of how prisoners’ specific needs should inform service delivery for greater reductions in rates of relapse and recidivism. Conclusions examine the legal and socioeconomic policy implications of programs that fail to provide services according to offenders’ specific needs in Canada, the United Kingdom, and the United States.

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)0.001
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 score0.908
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0000.000
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 head0.036
GPT teacher head0.361
Teacher spread0.326 · 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

Citations15
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueInternational Criminal Justice ReviewSame topicCriminal Justice and Corrections AnalysisFrench-language works237,207