American Journal of Criminal Justice最新文献

Americans take a myriad of safety precautions each day to prevent victimization, a costly and often time-consuming practice. Most of what we know about precautionary measures comes from the fear of crime literature. Previous studies typically examine precautionary measures in relation to fear of crime and ask respondents about behaviors they engaged in or avoided retroactively. Our research team put precautionary measures at the forefront by creating a virtual reality (VR) subway station where 105 participants entered a subway station, selected items to take with them on a train and selected a bench to wait for their train. The items included traditional precautionary measures (pepper spray, knife) and everyday items (cell phone, book, headphones, car keys). We also placed VR characters on a bench and asked participants to select a bench near or far from the characters. Participants were asked to explain their decision-making process. We learned that individuals engaged in avoidance and protective behaviors and our results found the decision-making process in the selection of these measures were complex and unique. The results of our study can help public safety agencies design public spaces so that individuals feel safer in these spaces.

A growing body of literature has explored the ‘life course’ of crime guns, with particular focus on the time between initial point of sale of firearms and their eventual recovery by police following a crime. We contend that this examination is incomplete, with limited consideration given to the period between a firearm’s first known use in a criminal offense and its recovery by police—which we refer to as time in crime. Increased understanding of this time frame is important given that crime guns are frequently recirculated among criminally involved groups and the recent finding that time in circulation following first known use in a crime is a significant predictor of multiple uses of crime guns. We add to the literature through application of negative binomial regression to a sample of 310 crime guns used in offenses in a city in the Southeastern United States to examine how neighborhood context and initial incident characteristics influence the number of days that firearms remain in circulation after their first known use in a crime. We find that increased levels of concentrated disadvantage and gang involvement during the original incident correspond with significant increases in time in crime, while increased levels of residential stability and the ability of police to identify suspects are linked with more rapid recovery of crime guns. Notably, these findings hold even after inclusion of popular time to crime covariates, including firearm quality, caliber, and status as a stolen gun.

Research indicates that a majority of serious crime events are committed by a small proportion of repeat offenders. Many chronic offenders collaborate with others, co-offending on an irregular basis or as part of an organized gang. Understanding the characteristics of these offenders and their criminality has significant implications for our understanding of chronic violence and the implementation of successful, evidence-based crime prevention efforts. To contribute to this ongoing effort, we apply social network analysis (SNA) to a sample of 2,217 people arrested more than once for a violent crime between 2014 and 2022. We explore co-offending relationships, investigating differences in demographics and crime characteristics between networked and non-networked chronic violent offenders. The results of this exploratory study indicate significant differences in age and crime type by network status. This analysis also indicates that SNA is an effective method for exploring co-offending in a general-purpose crime dataset. Implications for policymakers and future directions for research are presented.

This study examined factors that distinguish adolescent weapon carrying in school compared to only in the community. We look at how experiences (offending, victimization, and gang-involvement) and perceptions (school, neighborhood, individual) toward violence are associated with self-reported weapon carrying in these two locations. Data came from two waves of the University of Missouri – St. Louis Comprehensive School Safety Initiative, a longitudinal study on the causes and consequences of school violence. Multinomial logistic regression was used to predict weapon carrying among three mutually exclusive categories: those who do not carry, those who carry only in the community, and those who carry both in school and in the community. We find that victim/offenders are more likely to carry weapons regardless of context, but school weapon carrying is positively associated with fatalism and gang-involvement. One school factor, school commitment, impacted carrying both inside and outside of school. Our results identify unique factors that can reduce adolescent weapon carrying in general and specifically in school.

Concerns have been raised that cross-agency differences in the definition and measurement of juvenile recidivism may hamper the generalizability of knowledge and comparisons across jurisdictions. However, it is unclear whether measurement choices do impact the conclusions of studies of juvenile recidivism. This study examined whether the rates and the demographic, risk, and contextual predictors of juvenile recidivism varied by the operationalization of recidivism. The sample included 14,537 terms of probation of youths who completed probation in Florida between 2012 and 2016. Recidivism rates differed depending on the type of system contact and the follow-up length. Rates were comparable when adult system data were and were not included. Three-level multivariate multilevel models showed that the predictors were more strongly associated with commitment than with referral or adjudication. The directions and significance of the predictors’ effects were consistent across types of system contact, follow-up lengths, and data sources. Researchers should use varied measurement strategies, clearly describe their approach, and test for robustness across measures.

To what extent do violent offenders cause harm to victims when they act independently versus when they collaborate with others? Currently, it remains unclear whether co-offending exacerbates the degree of violence, partly due to measurement considerations, i.e. how to account for varying degrees of crime severity. Using police records from Dorset, UK, we compare violent crimes committed by lone individuals to those committed by co-offending networks using a crime harm index. While lone offenders commit the majority of violent acts, those with multiple connections to other violent offenders yielded higher average and total harm scores. Moreover, the severity of offences is proportional to the scale of the criminal network, with larger violent networks linked to higher crime harm scores. Finally, the propensity for recidivism is greater among co-offender groups compared to lone offenders. The implications of the compounding effect of co-offending on violence are discussed.

Reentry programs represent an increasingly popular method to reduce recidivism for individuals exiting prison and jail systems throughout the United States. Most evaluations tend to focus on recidivism as the primary outcome of interest. Attrition, however, can function an important supplementary measure that complements recidivism outcomes. To demonstrate, we analyze a jail reentry program built around peer navigators serving as staff members that refer participants to necessary support services while also serving as a mentor to participants exiting jail. We use a combination of general linear models (GLMs), Mahalanobis distance matching (MDM), and panel regression to both predict attrition and compare recidivism outcomes between three attrition groups: program completers, program quitters, and matched controls. Participants that successfully completed the program did not avoid new convictions or reincarceration significantly more or less than matched controls. Participants that quit the program, however, saw significantly higher conviction and reincarceration rates compared to matched controls. The nuance added to our program evaluation by adding attrition as a differential factor is worth consideration by other reentry programs who may not be realizing the full picture of their results by presenting recidivism outcomes alone.

Recidivism, and its contributing factors, remains a primary concern among juvenile justice practitioners. The literature has identified numerous policies and practices that reduce reoffending. Among these is use of validated assessment tools to identify risk level and treatment needs of youth. Using six years of juvenile court processing data, the authors examine the predictive validity of the Structured Assessment of Violence Risk in Youth (SAVRY), a structured professional judgement tool used to predict risk of violence and recidivism among youth aged 12 to 18. Findings support the use of the SAVRY to predict general recidivism, especially among males and highlights the importance of conducting gender-specific analyses. Analyses did not identify patterned race/ethnicity differences in risk. Our findings recommend the continued use of the SAVRY as an evidence-based instrument.

A substantial body of research has documented the consequences of rapid population growth for crime, but most of this literature focused on population growth in major cities during the first half of the twentieth century or on boomtown growth in rural areas since the 1970s. The findings of both literatures helped to identify important correlates and consequences of rapid population growth, but neither body of research engages with suburban areas in which approximately half of the United States population currently live. The current study examines the relationship of rapid population growth with levels of violent and property crime in one of the fastest growing suburban areas in the United States, Frisco Texas. The results indicate rapid population growth was not associated with changes in crime at the city level, but neighborhood level analyses suggest crime may became more concentrated in certain areas. Longitudinal regression analyses also reveal that many commonly assessed correlates of crime may operate differently in suburban areas than do in urban areas.

In this paper the role of a sociologist/criminologist as a mitigation expert in a case of double murder is examined. The defendant was a young black male defendant. The victims were his 8-month pregnant girlfriend and their unborn child. The defendant was born into terrible social circumstances; including five generations of violence; sexual abuse; incarcerated; and neglect. The circumstances of his tragic life leading up to the murder is presented as mitigation. The author of this paper has worked as a sociologist/ mitigation expert for almost 30 years in over 300 sentencing hearings/penalty phases most of which were capital murder but have also included manslaughter, habitual offenders, Miller cases; and other cases of violent crimes where the sentence is plastic. The utility of sociology in criminal cases in general is discussed.