Juvenile Justice Processing:The entangled effects of race and urban poverty

This study addresses the issue of how race and urban poverty affect minority overrepresentation in the juvenile justice system, using data from 2,003 court cases referred to 13 urban Ohio juvenile courts in 1989. Results of logistic regression analyses show that: 1) minority offenders are more likely to be detained than whites; 2) detention status augments juveniles' chances of being adjudicated and confined; 3) minority juveniles who are from welfare families are more likely to be confined than their self-sustaining counterparts. A cultural stereotype based on juveniles' race and class constitutes the basis of differential treatment.     

Inequality,Protests, and the Progressive Allocation of Cash Transfers in the Argentine Provinces

In the last 20 years, two broadly defined theories have sought to explain the relationship between economic inequality and redistribution. The well‐known hypothesis set forth by Meltzer and Richard (1981) states that larger income differences between the median voter and the average income earner should increase redistributive pressures in democratic regimes. Power Resource Theory (PRT), by contrast, argues that income inequality breeds power inequality and should dampen redistribution. Critical to both theories is the translation of redistributive interest into policy signals. This article considers protests as signals that increase the salience of inequality among voters. Results provide evidence that protests facilitate more progressive cash transfers in highly unequal environments but have modest effects in more egalitarian ones.     

Ecuador-China Relations: the Growing Effect of Chinese Investment on Ecuadorian Domestic Politics, 2007–2016

Journal of Chinese Political Science - Two burning academic and policy questions in the study of Latin American and Caribbean- China ties relate to the effects of China’s rising trade,...     

Examining the Influence of Family Environments on Youth Violence: A Comparison of Mexican,Puerto Rican,Cuban, Non-Latino Black,and Non-Latino White Adolescents

Existing research rarely considers important ethnic subgroup variations in violent behaviors among Latino youth. Thus, their risk for severe violent behaviors is not well understood in light of the immense ethnic and generational diversity of the Latino population in the United States. Grounded in social control theory and cultural analyses of familism, we examine differences in the risk for severe youth violence, as well its associations with family cohesion, parental engagement, adolescent autonomy, household composition, and immigrant generation among Mexican (n = 1,594), Puerto Rican (n = 586), Cuban (n = 488), and non-Latino Black (n = 4,053), and White (n = 9,921) adolescents with data from the National Longitudinal Study of Adolescent Health. Results indicate a gradient of risk; White youth had the lowest risk for severe violence and Puerto Rican youth had the highest risk compared to all other racial/ethnic subgroups. Within-group analysis indicates that family factors are not universally protective or risk-inducing. While family cohesion decreased the risk of severe violence among all groups, parental engagement was associated with increased risk among Blacks and Whites, and adolescent autonomy was associated with increased risk among Puerto Ricans and Cubans. In addition, Cuban and White adolescents who lived in single parent households or who did not live with their parents, had higher risk for severe violent behaviors than their counterparts who lived in two parent households. Among Latinos, the association of immigrant generation was in opposite directions among Mexicans and Cubans. We conclude that family and immigration factors differentially influence risk for violence among Latino subgroups and highlight the significance of examining subgroup differences and developing intervention strategies that are tailored to the needs of each ethnic subgroup.     

Acculturation and reported intimate partner violence among Latinas in Los Angeles

This study sought to understand the relationship between acculturation and reporting intimate partner violence (IPV) among Latinas. A cross-sectional interviewer-administered survey was conducted at public health care clinics throughout Los Angeles County. Logistic regression was used to estimate the effect of acculturation on reporting IPV. An increasing trend of reporting IPV was observed among Latinas who were more acculturated (chi-square = 41.02, p = .0006). Highly acculturated Latinas were more likely to report IPV compared with least acculturated Latinas (prevalence odds ration = 2.18, 95% confidence level = 0.98, 4.89) and moderately acculturated Latinas were more likely to report IPV compared with least acculturated Latinas (prevalence odds ration = 1.29, 95% confidence level = 0.69, 2.43). Culturally competent IPV prevention programs may be the key to significantly reducing the number of women exposed to this serious public health problem.     

Longitudinal Linkages among Parents’ Educational Expectations,Youth’s Educational Expectations,and Competence in Mexican-origin Families

The contribution that parental educational expectations for youth and youth’s perceptions of academic competence can have on youth’s own educational expectations across early to late adolescence is not well-understood. In a sample of Mexican-origin families, the current study examined longitudinal (from early to late adolescence) associations among mothers, fathers, and youth’s educational expectations, how youth’s educational expectations were associated with perceived academic competence, and the potential mediating role of youth’s perceived academic competence. Data from two-parent families which included one focal child (7th grade: N=?469; youth: M_age?=?12.31, 50% female) at three waves (7th, 9th, and 11th grade) were utilized. Structural equation modeling and multi-group analysis were implemented to assess the study’s goals. Results revealed significant associations among parents’ 7th grade educational expectations and youth’s 9th and 11th grade educational expectations. The findings also revealed three significant associations among youth’s perceived academic competence and educational expectations between 7th and 11th grade. Specifically, youth’s 7th grade perceived academic competence predicted youth’s 9th grade educational expectations, youth’s 7th grade educational expectations predicted youth’s 9th grade perceived academic competence, and youth’s 9th grade perceived academic competence predicted youth’s 11th grade educational expectations. Multigroup analysis did not reveal gender differences for the associations tested. The findings highlight the long-term significance of parents’ educational expectations on youth’s educational expectations and underscore youth’s academic competence, an individual level factor, as critical to consider for understanding educational expectations across adolescence for Mexican-origin youth.

     

Evaluation of the Simultaneous Analysis of Organic and Inorganic Gunshot Residues Within a Large Population Data Set Using Electrochemical Sensors*,†

The increasing demand for rapid methods to identify both inorganic and organic gunshot residues (IGSR and OGSR) makes electrochemical methods, an attractive screening tool to modernize current practice. Our research group has previously demonstrated that electrochemical screening of GSR samples delivers a simple, inexpensive, and sensitive analytical solution that is capable of detecting IGSR and OGSR in less than 10 min per sample. In this study, we expand our previous work by increasing the number of GSR markers and applying machine learning classifiers to the interpretation of a larger population data set. Utilizing bare screen-printed carbon electrodes, the detection and resolution of seven markers (IGSR; lead, antimony, and copper, and OGSR; nitroglycerin, 2,4-dinitrotoluene, diphenylamine, and ethyl centralite) was achieved with limits of detection (LODs) below 1 µg/mL. A large population data set was obtained from 395 authentic shooter samples and 350 background samples. Various statistical methods and machine learning algorithms, including critical thresholds (CT), naïve Bayes (NB), logistic regression (LR), and neural networks (NN), were utilized to calculate the performance and error rates. Neural networks proved to be the best predictor when assessing the dichotomous question of detection of GSR on the hands of shooter versus nonshooter groups. Accuracies for the studied population were 81.8 % (CT), 88.1% (NB), 94.7% (LR), and 95.4% (NN), respectively. The ability to detect both IGSR and OGSR simultaneously provides a selective testing platform for gunshot residues that can provide a powerful field-testing technique and assist with decisions in case management.