Solitary Confinement of Inmates Associated With Relapse Into Any Recidivism Including Violent Crime: A Systematic Review and Meta-Analysis
Why this work is in the frame
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Bibliographic record
Abstract
Recidivism among released inmates is associated with a substantial societal burden given the financial and medical consequences of victimization. Among incarcerated North Americans, approximately 7% are housed in solitary confinement (SC). Studies show SC can lead to psychological deterioration and dispute it can effectively reduce institutional misconduct or recidivism. This meta-analysis aims to clarify the impact of SC on postrelease recidivism, which we hypothesized would increase following SC. A meta-analysis was conducted using PubMed, PsycINFO, Web of Science, and Google Scholar databases from inception until December 2019. Studies on adult inmates in correctional settings were included if they met an operational definition of SC, measured recidivism, and included a comparison group in general inmate population. Random-effect models were used to assess the impact of SC on multiple types of recidivism. Of the 2,713 identified records, 12 met inclusion criteria ( n = 194,078). A moderate association was found between SC and any recidivism (odds ratio [ OR] = 1.67, 95% confidence interval [1.41, 1.97]), which persisted in controlled studies ( OR = 1.41). This association was replicated across types of recidivism comprising violence ( OR = 1.41), rearrests ( OR = 1.37), and reincarceration ( OR = 1.67). Moreover, a more recent exposure to SC increased recidivism risk ( OR = 2.02), and a dose–response relationship was found between days in SC and recidivism. The overall database presented high heterogeneity but no publication bias. Findings show a small to moderate association between SC and future crime/violence. Considering the societal costs associated with antisocial behaviors following SC, mental health and psychosocial programming facilitating inmates’ successful reentry into society should be implemented and rigorously evaluated in strong research design.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.009 | 0.002 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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