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Enregistrement W2962943046 · doi:10.4073/csr.2003.1

Effects of Correctional Boot Camps on Offending

2003· article· en· W2962943046 sur OpenAlex

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Notice bibliographique

RevueCampbell Systematic Reviews · 2003
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueCriminal Justice and Corrections Analysis
Établissements canadiensnon disponible
Organismes subventionnairesJerry M. Lewis, M.D. Mental Health Research Foundation
Mots-clésBoot campRecidivismPsychologyOddsConvictionModerationExtant taxonClinical psychologyMedicineSocial psychologyLogistic regressionPolitical science

Résumé

récupéré en direct d'OpenAlex

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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,006
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Revue systématique · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,495
Score d'incertitude au seuil0,677

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,006
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,049
Tête enseignante GPT0,333
Écart entre enseignants0,284 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle