The role of people in information-sharing: perceptions from an analytic unit of a regional fusion center

Information sharing research has largely focused on capturing operational practices related to the exchange of information. A noticeable shortcoming of this developing literature is the lack of scholarly attention focused specifically on analytic personnel. The present study employs semi-structured interviews with 23 personnel that comprise the analytic unit within a regional fusion center located in a large metropolitan area in the United States. Findings indicate that there is significant ambiguity surrounding the organizational and geographic audiences to which intelligence products should be tailored. Moreover, it appears information sharing is sparse and reliant upon personal relationships between analysts and external organizations. Lastly, analysts do not receive feedback pertaining to the content and effectiveness of intelligence products created. These findings may be generalized to other analytical organizations whose primary goal is to gather, analyze and disseminate intelligence. Action steps for policymakers are provided.     

Blessed be Discord, 1910: Ricardo Flores Magón's Manifesto Mode

This article explores how Ricardo Flores Magón used images to transpose the graphic tradition of nineteenth-century Mexican political journalism into prose by deploying montage to craft both allegorical and prismatic images: while certain images are divorced from their original context and take on a new life, others, analogically related to a single idea, appear prismatically in fragments on the page. The affinities Flores Magón's writing shared with modernismo and the historical avant garde – as intensification of the former and precursor of the latter – have been a blind spot for literary history, to which this article attempts to restore the importance of his writing.     

Informing the Understudied R: Exploring and Advancing Typological Research

Creating offender typologies has become a growing interest and a potential method of improving understanding of programming needs and potential placements. Most typological research has only explored and described potential offender types. Relatively few studies have attempted to confirm the existence of created typologies or examine how offenders in each type predict important outcomes. Utilizing a large sample (N = 37,111) of reentering male offenders from Washington State Department of Corrections, we computed both an exploratory and confirmatory latent class analysis. After the confirmation of six offender types, we examined each type’s likelihood of several recidivistic outcomes. We anticipate that the described typology will assist case management, prioritizing offender needs, optimizing treatment services, and determining sequencing of multiple treatment types.     

Estimating actual foot size from a static bare foot print in a White British Population

In forensic intelligence-gathering it would be useful to be able to estimate the size of a perpetrator's foot from a standing bare footprint found at the scene of crime. Currently, the advice is to add a fixed amount to the length of the footprint (typically 1.5 or 2.0 cm), but there is little evidence for this approach. This study used measured footprint and actual foot lengths from 146 participants from the white British student population of a University in the UK. Data were analysed using multiple regression with foot length as the dependent (outcome) variable and footprint length and sex as the independent variable/factor respectively. Sex was not a significant predictor. The regression equation for the best estimate of the foot length is 19.89 + 0.95 × print length ± 8 mm.     

Early detection and early intervention in prison: improving outcomes and reducing prison returns

Our aim was to investigate whether early detection was feasible in prison and whether it could improve mental health outcomes in young prisoners. A secondary aim was to explore whether it can reduce returns to prison. Between 2011 and 2014, a total of 2115 young prisoners were screened, 94 (4.4%) met criteria for ultra-high risk for psychosis and were offered an intervention, 52 actually received it. Return to prison data were sought on the 52 participants, receiving a formal intervention. Of the 52 prisoners who received an intervention, 30.8% returned to custody compared to national average reconviction rates of between 45.4 and 66.5%. Our results suggest that early detection is a feasible option in a prison setting, improving mental health outcomes and reducing returns to prison. Mental health outcomes were recorded for a sub-sample of those receiving the intervention. The results indicated statistically significant improvements on measures of depression, anxiety and psychological distress.     

Politics,Prisons, and Law Enforcement: An Examination of the Emergence of “Law and Order” Politics in Texas

This article examines the rise of “law and order” politics in Texas, providing an in‐depth archival case study of changes in prison policy in a Southern state during the pivotal period when many U.S. states turned to mass incarceration. It brings attention to the important role an insurgent Republican governor and law enforcement officials played in shaping crime policy. Law enforcement's role is considered within a broader examination of political strategy during a period of intense socioeconomic volatility. The findings suggest that within particular political contexts, especially those with low levels of political participation, law enforcement agents might play a key role in shaping punishment.     

The Party Faithful: Partisan Images,Candidate Religion,and the Electoral Impact of Party Identification

We argue that the factors shaping the impact of partisanship on vote choice—“partisan voting”—depend on the nature of party identification. Because party identification is partly based on images of the social group characteristics of the parties, the social profiles of political candidates should affect levels of partisan voting. A candidate's religious affiliation enables a test of this hypothesis. Using survey experiments which vary a hypothetical candidate's religious affiliation, we find strong evidence that candidates’ religions can affect partisan voting. Identifying a candidate as an evangelical (a group viewed as Republican) increases Republican support for, and Democratic opposition to, the candidate, while identifying the candidate as a Catholic (a group lacking a clear partisan profile) has no bearing on partisan voting. Importantly, the conditional effect of candidate religion on partisan voting requires the group to have a salient partisan image and holds with controls for respondents’ own religious affiliations and ideologies.     

Youth Psychopathy and Criminal Recidivism: A Meta-Analysis of the Psychopathy Checklist Measures

Although narrative reviews have suggested that "youth psychopathy" is a strong predictor of future crime and violence, to date no quantitative summaries of this literature have been conducted. We meta-analyzed recidivism data for the Psychopathy Checklist measures across 21 non-overlapping samples of male and female juvenile offenders. After removing outliers, psychopathy was significantly associated with general and violent recidivism (r (w)'s of .24 and .25, respectively), but negligibly related to sexual recidivism in the few studies examining this low base rate outcome. Even after eliminating outliers, however, considerable heterogeneity was noted among the effects, with some of this variability being explained by the gender and ethnic composition of the samples. Effect sizes for the small number of female samples available for analysis were mostly small and nonsignificant, and psychopathy was a weaker predictor of violent recidivism among more ethnically heterogeneous samples. In relation to predicting both general and violent recidivism, psychopathy performed comparably to an instrument designed specifically to assess risk, the Youth Level of Service/Case Management Inventory (Hoge & Andrews, 2002).     

Therapeutic jurisprudence: A framework for evidence-informed health care policymaking

Translation of evidence-based practice (EBP) into health care policy is of growing importance, with discussions most often focused on how to fund and otherwise promote EBP through policy (i.e., at system level, beyond the bedside). Less attention has been focused on how to ensure that such policies - as enacted and implemented, and as distinguished from the practices underlying policies - do not themselves cause harm, or at least frustrate accomplishment of "therapeutic" goals of EBP. On a different front, principles of therapeutic jurisprudence (TJ) in law have been developed, most prominently in certain areas of law (e.g., mental health and family law), to support more collaborative, less traumatic advocacy and conflict resolution. This paper draws on current applications of TJ and translates such into a therapeutic approach to health care policymaking that moves beyond promotion of EBP in policy. Health care policy itself may be viewed as an intervention that impacts health, positively or not. The goal is to offer a framework for health care policymaking grounded in TJ principles that does not focus on which evidence is "right" for policy use, but rather how we can better understand how consequences of policy, intended or not, affect the well-being of populations. Such framework thus moves policymaking from an either/or debate to a data- and human-driven process. Utilizing TJ framing questions, policies can be developed and evaluated through open dialogue among diverse voices at the table, including - like interventions - the "patients" or, here, targets of such policies. Collectively, they clarify how ends sought - to enhance (or at least not impair) health - can best be achieved through policy when needed, recognizing that as an intervention, there are limits to and boundaries on the usefulness of policy.