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Reducing Prison Misconducts

2006· article· en· 239 citations· W2090572652 on OpenAlex· 10.1177/0093854805284406

Why is this work in the frame?

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

Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.

Full frame distilled prediction

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.

Candidate categories
Meta-epidemiology (narrow)
Consensus categories
none
Domain
Candidate signal: noneConsensus signal: none
Study design
Candidate signal: ObservationalConsensus signal: none
Genre
Candidate signal: EmpiricalConsensus signal: Empirical
Teacher disagreement score
0.822
Threshold uncertainty score
1.000
Validation status
machine_predicted_unvalidated · codex-gemma-dda1882f352a

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

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.

Opus teacher head0.059
GPT teacher head0.347
Teacher spread
0.289 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

A meta-analysis was conducted to assess the effectiveness of correctional treatment for reducing institutional misconducts. Sixty-eight studies generated 104 effect sizes involving 21,467 offenders. Behavioral treatment programs produced the strongest effects ( r = .26, CI = .18to .34). The numbers of criminogenic needs targeted and program therapeutic integrity were found to be important moderators of effect size. Prison programs producing the greatest reductions in misconduct were also associated with larger reductions in recidivism. The magnitudes of various indices of treatment effect size with respect to misconducts were remarkably similar to results in the correctional treatment literature where community recidivism is the criterion. Recommendations are made that will assist prison authorities to manage prisons in a safe and humane manner.

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.

The record

Venue
Criminal Justice and Behavior
Topic
Psychopathy, Forensic Psychiatry, Sexual Offending
Field
Psychology
Canadian institutions
University of New Brunswick
Funders
not available
Keywords
RecidivismPrisonMisconductPsychologyTherapeutic communityCriminologyMedicineClinical psychologyPsychiatryPolitical scienceLaw
Has abstract in OpenAlex
yes