Establishing a compulsory drug treatment prison: Therapeutic policy, principles, and practices in addressing offender rights and rehabilitation

A Compulsory Drug Treatment Correctional Center (CDTCC) was established in Australia in 2006 for repeat drug-related male offenders. Compulsory treatment law is inconsistent with a therapeutic jurisprudence approach. Despite the compulsory law, a normative offender rehabilitation framework has been established based on offender moral rights. Within moral rights, the offender rehabilitation framework addresses the core values of freedom (supporting autonomous decision-making) and well-being (supporting support physical, social, and psychological needs). Moral rights are underpinned by a theory or principle which, in this instance, is a humane approach to offender rehabilitation. While a law that permits offenders to choose drug treatment and rehabilitation is preferable, the article discusses the establishment of a prison based on therapeutic policy, principles, and practices that respond to participants as both rights-violators and rights-holders. The opportunity for accelerated community access and a therapeutic alliance with staff has resulted in offenders actively seeking to be ordered into compulsory drug treatment and rehabilitation.     

<Emphasis Type="Italic">Random Activities Theory</Emphasis>: The Case for ‘Black Swan’ Criminology

In the United States, infamous crimes against innocent victims—especially children—have repeatedly been regarded as justice system “failures” and resulted in reactionary legislation enacted without regard to prospective negative consequences. This pattern in part results when ‘memorial crime control’ advocates implicitly but inappropriately apply the tenets of routine activities theory, wherein crime prevention is presumed to be achievable by hardening likely targets, increasing the costs associated with crime commission, and removing criminal opportunity. In response, the authors argue that academic and public policy discourse will benefit from the inclusion of a new criminological perspective called random activities theory, in which tragic crimes are framed as rare but statistically inevitable ‘Black Swans’ instead of justice system failures. Potential objections and implications for public policy are discussed at length.     

Governmental Efforts on Homeland Security and Crime: Public Views and Opinions

This paper examines views of the respondents regarding homeland security and traditional crime in the United States. Using questions from the 2007 Penn State Poll, a sample of 862 Pennsylvanians participated through a telephone interview. Participants were questioned about their concerns regarding the effectiveness of homeland security, their fear of crime (white-collar, property, violent and terrorist attacks). The results revealed that citizens were satisfied with the effectiveness of homeland security since the September 11, 2001, attacks. The results indicate that fear of crime is different for demographics, and we were able to show that those that thought homeland security had been effective increased the likelihood of fear of white-collar crime. We were also able to show demographic differences for national spending on crime. In addition, we were able to show that those who believed that homeland security was effective did not believe that national spending was at the proper level for property, violent, or white-collar crime. The implications of these results are discussed.     

The Mask of Neutrality: Judicial Partisan Calculation and Legislative Redistricting

Do judges ruling on redistricting litigation increase electoral competition in congressional races while simultaneously drawing districts favoring their party's congressional candidates? I offer a novel theory of judicial partisan calculation, arguing that judges draw more competitive districts than legislatures or commissions, but that judge‐drawn districts favor the electoral interests of their copartisans. These claims are reconcilable because judges target districts held by contrapartisan legislators to maximize their copartisans’ fortunes. I find that Democratic judges draw competitive districts by adding Democratic voters to Republican‐held House constituencies. Court‐administered redistricting increases competitiveness, ostensibly due to judicial neutrality. This mask of neutrality, however, conceals sophisticated partisan calculation.     

Religion and Misconduct in “Angola” Prison: Conversion,Congregational Participation,Religiosity, and Self-Identities*

Prior research tends to find an inverse relationship between inmates’ religion and misconduct in prison, but this relationship has lacked empirical explanation. We therefore propose the religion-misconduct relationship is mediated by inmates’ identity transformation on existential, cognitive, and emotional dimensions. To test the mediation, we conducted a survey of inmates at the Louisiana State Penitentiary (a.k.a. “Angola”). Controlling for inmates’ sociodemographic and criminal backgrounds, we estimated a latent-variable structural equation model of disciplinary convictions. Results showed that inmates’ religious conversion and, to a lesser extent, religiosity itself were positively related to existential and cognitive transformations as well as a “crystallization of discontent,” which were in turn associated with two types of emotional transformation in the expected direction. The crystallization of discontent and transformation in negative affect were related to disciplinary convictions as hypothesized, and their mediation of the effects of conversion and religiosity on misconduct were found to be significant.     

Challenges to inmate classification in a developing country setting: implications for context-based inmate classification schemes

Inmate classification is a key aspect of prison management and inmate programming. It guides inmate housing assignment, level of supervision and control, and inmate programme placement. The Philippines formally incorporated these principles to modernise its prisons. However, structural, organisational, and cultural challenges posed barriers to successful implementation. Utilising qualitative data gathered through interviews and focus group discussions with prison personnel, inmates, and volunteers in a major prison in the Philippines, this paper investigates the practices that impact on inmate classification and how these affect housing assignment, levels of supervision and control, and inmate programming. Implications towards developing an integrated correctional management in the Philippines, and other similarly situated countries, are discussed.     

Risk Terrain Modeling and Socio-Economic Stratification: Identifying Risky Places for Violent Crime Victimization in Bogotá, Colombia

This research focused on the effect of the built environment on Bogotá’s violent crime by using the Risk Terrain Modeling (RTM) technique. The current study used 17 ecological variables, including micro-level data on the spatial distribution of socio-economic strata, and the location of an array of businesses and other features of the landscape. As suggested by the results of this study, the spatial distribution of violent crime in Bogotá is highly correlated with the allocation of socio-economic strata throughout its geography. A statistically valid RTM analysis identified the micro-level risk factors associated with three types of violent crime incidents, namely homicide, assault, and theft incidents. These results suggest that future violent crime incidents are more likely to occur at a reduced number of high-risk micro-places. Moreover, while homicide and assault incidents were more likely to cluster within the poorest areas of the city, theft incidents presented a higher risk of victimization near the city center, where economic activity and suitable targets concentrate. This study offers a unique account regarding the effect of socio-economic segregation on violent crime victimization across Bogotá’s geography and within different socio-economic strata classifications.     

How nonrecidivism affects predictive accuracy: evidence from a cross-validation of the Ontario Domestic Assault Risk Assessment (ODARA)

Prediction effect sizes such as ROC area are important for demonstrating a risk assessment's generalizability and utility. How a study defines recidivism might affect predictive accuracy. Nonrecidivism is problematic when predicting specialized violence (e.g., domestic violence). The present study cross-validates the ability of the Ontario Domestic Assault Risk Assessment (ODARA) to distinguish subsequent recidivists and nonrecidivists among 391 new cases with less extensive criminal records than previous cross-validation samples, base rate=27%, ROC area=.67. Excluding ambiguous nonrecidivists increases the base rate to 33%, ROC area=.74. Random samples of 50 recidivists and 50 unambiguous nonrecidivists yield ROC areas from .71 to .80. Published norms significantly underestimate official recidivism. Ambiguous nonrecidivism is prevalent and leads to underestimating base rates and predictive accuracy.