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Record W2145536943 · doi:10.1177/0093854812451089

The Effect of Youth Diversion Programs on Recidivism

2012· article· en· W2145536943 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCriminal Justice and Behavior · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsCarleton UniversityToronto Metropolitan University
Fundersnot available
KeywordsRecidivismModerationPsychological interventionCriminal justicePsychologyProgram evaluationReferralIntervention (counseling)Environmental healthApplied psychologyMedicineClinical psychologyPsychiatryCriminologyPolitical scienceSocial psychologyNursing

Abstract

fetched live from OpenAlex

Pre- and postcharge diversion programs have been used as a formal intervention strategy for youth offenders since the 1970s. This meta-analysis was conducted to shed some light on whether diversion reduces recidivism at a greater rate than traditional justice system processing and to explore aspects of diversion programs associated with greater reductions in recidivism. Forty-five diversion evaluation studies reporting on 73 programs were included in the meta-analysis. The results indicated that diversion is more effective in reducing recidivism than conventional judicial interventions. Moderator analysis revealed that both study- and program-level variables influenced program effectiveness. Of particular note was the relationship between program-level variables (e.g., referral level) and the risk level targeted by programs (e.g., low or medium/high). Further research is required implementing strong research designs and exploring the role of risk level on youth diversion effectiveness.

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.

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 score0.919
Threshold uncertainty score0.894

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 studies0.0010.000
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 head0.047
GPT teacher head0.335
Teacher spread0.288 · 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