Conflict Appraisals in a Multiethnic Sample of Children Exposed to Intimate Partner Violence

Childhood exposure to intimate partner violence (IPV) is a serious public health issue, affecting millions of children each year. IPV-exposed children are at risk for developing behavioral and emotional problems. The Cognitive-Contextual Framework posits that children’s post-conflict appraisals of threat and self-blame mediate these negative outcomes. However, conflict appraisals have primarily been studied in White, school-aged children. This study includes a large, multi-ethnic sample of children ages 5–12 (N = 158) who were interviewed regarding their experiences with family violence. The sample included White, Black, Latino/a, and biracial children. Self-blame was equivalent across groups. However, groups differed in threat appraisals, and Latino/a mothers and children reported discrepancies in the level of IPV-exposure. Directions for research and clinical implications are discussed.     

How to Cautiously Uncover the “Black Box” of Machine Learning Models for Legislative Scholars

Machine learning models, especially ensemble and tree-based approaches, offer great promise to legislative scholars. However, they are heavily underutilized outside of narrow applications to text and networks. We believe this is because they are difficult to interpret: while the models are extremely flexible, they have been criticized as “black box” techniques due to their difficulty in visualizing the effect of predictors on the outcome of interest. In order to make these models more useful for legislative scholars, we introduce a framework integrating machine learning models with traditional parametric approaches. We then review three interpretative plotting strategies that scholars can use to bring a substantive interpretation to their machine learning models. For each, we explain the plotting strategy, when to use it, and how to interpret it. We then put these plots in action by revisiting two recent articles from Legislative Studies Quarterly.     

Policy Responses to Human Trafficking in Southern Africa: Domesticating International Norms

Human trafficking is increasingly recognized as an outcome of economic insecurity, gender inequality, and conflict, all significant factors in the region of southern Africa. This paper examines policy responses to human trafficking in southern Africa and finds that there has been a diffusion of international norms to the regional and domestic levels. This paper finds that policy change is most notable in the strategies and approaches that differ at each level: international and regional agreements emphasize prevention measures and survivor assistance, but national policies emphasize prosecution measures. Leaders across the region have adapted these policy norms to fit regionally specific conditions, including HIV/AIDS, conflict, traditional leaders, and prostitution. Yet, national policies often fail to incorporate preventative solutions to address gender inequality, human rights, and economic development. Until appropriate funding and preventative measures are introduced, the underlying issues that foster human trafficking will continue.     

Sex differences in the relationship between sensation seeking,trait emotional intelligence and delinquent behaviour

Levels of sensation seeking peak in adolescence and there is a well-documented association of sensation seeking with delinquency and other risk-taking behaviours. The present study investigated the potential moderating effect of trait emotional intelligence (trait EI) on this relationship. Trait EI encompasses high levels of empathy and emotion regulation and is associated with positive outcomes and well-being. Ninety-six young adults (48 females and 48 males; overall M_age = 19.76) completed measures of sensation seeking, trait EI and self-reported delinquent behaviours (DB) since age 12. Results indicated that sensation seeking and frequency of DB were positively associated, but this effect was moderated by trait EI for male participants – those with lower trait EI showed a greater increase in delinquency, in line with a rise in sensation seeking. No moderation effect was observed for females, and females with higher levels of trait EI reported more DB. The results are discussed in terms of the protective role of trait EI in supporting self-regulation and whether, for some females, high levels of emotional intelligence might predispose them to antisocial relational behaviours.     

The relationship between risk,deviance, treatment outcome and sexual reconviction in a sample of child sexual abusers completing residential treatment for their offending

Abstract

The study investigated the relationship between static and dynamic risk and reconviction in a sample of child sexual abusers who had completed a long-term residential treatment programme for their sexual behaviour problems. Results found that only High/Very High risk men as measured by a static risk assessment schedule (Risk Matrix 2000) were reconvicted for sexual offences (17% over a 2-year period, 42% over a 5-year period). Results also showed that it was generally men who were rated as a high level of dynamic risk that were reconvicted for a sexual offence (13% versus 5% over a 2-year period; 44% versus 10% over a 5-year period). The study also indicated the benefits of residential treatment for such High risk/High Deviance men in that no men who left the programme having responded to treatment had been reconvicted for sexual offences at either follow-up period.     

Potential Use of Hydrocarbons for Aging Lucilia sericata Blowfly Larvae to Establish the Postmortem Interval

Previous studies on Diptera have shown the potential for the use of cuticular hydrocarbons' analysis in the determination of larval age and hence the postmortem interval (PMI) for an associated cadaver. In this work, hydrocarbon compounds, extracted daily until pupation from the cuticle of the blowfly Lucilia sericata (Diptera: Calliphoridae), have been analyzed using gas chromatography–mass spectrometry (GC–MS). The results show distinguishing features within the hydrocarbon profile over the period of the larvae life cycle, with significant chemical changes occurring from the younger larvae to the postfeeding larvae. Further interpretation of the chromatograms using principal component analysis revealed a strong correlation between the magnitudes of particular principal components and time. This outcome suggests that, under the conditions of this study, the cuticular hydrocarbons evolve in a systematic fashion with time, thus supporting the potential for GC–MS analysis as a tool for establishing PMI where such a species is present.