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Record W2962943046 · doi:10.4073/csr.2003.1

Effects of Correctional Boot Camps on Offending

2003· article· en· W2962943046 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCampbell Systematic Reviews · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
FundersJerry M. Lewis, M.D. Mental Health Research Foundation
KeywordsBoot campRecidivismPsychologyOddsConvictionModerationExtant taxonClinical psychologyMedicineSocial psychologyLogistic regressionPolitical science

Abstract

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The aim of this Campbell systematic review is to synthesize the extant empirical evidence on the effects of boot‐camps and boot camp like programs on the criminal behavior (e.g., postrelease arrest, conviction, or reinstitutionalization) of convicted adult and juvenile offenders. The participants are kept extremely busy from early morning until late in the evening with physical training, drills and ceremonies. Punishment for even minor offences is immediate and usually involves physical activity. Boot camps for young offenders will typically also include academic education and therapeutic elements. The analyses covered by this research review are based on 43 outcome studies, involving almost 120,000 young people and adults in total who participated in boot camps or militaristic programmes. Of these studies, 40 come from the USA, one from Canada and two from the UK. The studies measure recidivism in several different ways, such as arrests, sentences, imprisonment. For the studies that conducted measurements over several durations of time (e.g. after 12, 24 and 36 months), the authors of the research review chose the measurement with the longest timeframe that still covered at least 90% of the original participants. Regardless of which of these measurements was studied, the conclusion was the same: boot camps are neither worse nor better than e.g. imprisonment. Abstract Background Correctional boot camps were first opened in United States adult correctional systems in 1983. Since that time they have rapidly grown, first within adult systems and later in juvenile corrections, primarily within the United States. In the typical boot camp, participants are required to follow a rigorous daily schedule of activities including drill and ceremony and physical training, similar to that of a military boot‐camp. Punishment for misbehavior is immediate and swift and usually involves some type of physical activity like push‐ups. Boot‐camps differ substantially in the amount of focus given to the physical training and hard labor aspects of the program versus therapeutic programming such as academic education, drug treatment or cognitive skills. Objectives To synthesize the extant empirical evidence on the effects of boot‐camps and boot camp like programs on the criminal behavior (e.g., post‐release arrest, conviction, or reinstitutionalization) of convicted adult and juvenile offenders. Search Strategy Numerous electronic databases were searched for both published an unpublished studies. The keywords used were: boot camp(s), intensive incarceration, and shock incarceration. We also contacted U.S and non‐U.S. researchers working in this area requesting assistance in locating additional studies. The final search of these sources was completed in early December of 2003. Selection Criteria The eligibility criteria were (a) that the study evaluated a correctional boot camp, shock incarceration, or intensive incarceration program; (b) that the study included a comparison group that received either probation or incarceration in an alternative facility; (c) that the study participants were exclusively under the supervision of the criminal or juvenile justice system; and (d) that the study reported a post‐program measure of criminal behavior, such as arrest or conviction. Data Collection and Analysis The coding protocol captured aspects of the research design, including methodological quality, the boot‐camp program, the comparison group condition, the participant offenders, the outcome measures and the direction and magnitude of the observed effects. All studies were coded by two independent coders and all coding differences were resolved by Drs. MacKenzie or Wilson. Outcome effects were coded using the odds‐ratio and meta‐analysis was performed using the random effects model. Main Results Thirty‐two unique research studies met our inclusion criteria. These studies reported the results from 43 independent boot‐camp/comparison samples. The random effects mean odds‐ratio for any form of recidivism was 1.02, indicating that the likelihood that boot camp participants recidivating was roughly equal to the likelihood of comparison participants recidivating. This overall finding was robust to the selection of the outcome measure and length of follow‐up. Methodological features were only weakly related to outcome among these studies and did not explain the null findings. The overall effect for juvenile boot camps was slightly lower than for adult boot camps. Moderator analysis showed that studies evaluating boot‐camp programs with a strong treatment focus had a larger mean odds‐ratio than studies evaluating boot camps with a weak treatment focus. Conclusions Although the overall effect appears to be that of “no difference,” some studies found that boot camp participants did better than the comparison, while others found that comparison samples did better. However, all of these studies had the common element of a militaristic boot camp program for offenders. The current evidence suggests that this common and defining feature of a boot‐camp is not effective in reducing post boot‐camp offending.

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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)0.003
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.495
Threshold uncertainty score0.677

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.049
GPT teacher head0.333
Teacher spread0.284 · 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