Gender comparisons in the relationship between parental and sibling violence and nonfamily violence

This paper addresses two neglected areas in the research on the relationship between family violence and violence outside the home: violence other than parent-child abuse and the effect of gender. Specifically, we consider both parental and sibling violence as independent variables, nonfamily violence as the dependent variable, and gender as the specification variable. The data were collected from a sample of 306 students in Introductory Sociology and Social Problems classes. The finding of particular importance is that the interaction between the gender of both the aggressor and the victim has a significant effect on the relationship between violence within the home and nonfamily violence.     

The use of human skin in the fabrication of a bite mark template: two case reports

Comparison of a suspected biter's dental arches with the patterned injury of a bite mark is especially difficult when the bite occurs in an anatomic location with a small radius of curvature or with complex or compound curves. The authors present two case reports in which human skin was used as a template for the reproduction of a bite. In one case the victim's skin was used; in the other, the skin of a anatomically similar person was used. The use of inked dental casts, photography, and transparent overlays significantly reduced the errors common to analysis of bite marks in these highly curved areas.     

Reassessing the Effect of Economic Growth on Well-being in Less-developed Countries, 1980–2003

Development debates have been greatly influenced by the growth consensus: the conventional wisdom that economic growth should be the primary priority for less-developed countries (LDCs) because it most effectively improves the well-being of the world’s poor. We compare the impact of growth to other independent variables in an unbalanced panel analysis of up to 109 LDCs and 580 observations across six time points (1980, 1985, 1990, 1995, 2000, and 2003). Our dependent variables include caloric consumption, infant survival probability, one-to-five year survival probability, female life expectancy, and male life expectancy. First, we find that gross domestic product (GDP) has significant positive effects on caloric consumption, female life expectancy, and male life expectancy. Second, GDP does not have robust effects on infant and one-to-five survival probabilities. Third, fertility, urbanization, and secondary school enrollment have larger effects than GDP in the majority of models. The more powerful effects of fertility, urbanization, and secondary schooling cannot simply be attributed to an indirect effect of GDP. Fourth, we find that dependency variables do not have robust significant effects. Fifth, over time, GDP has become much less effective at improving caloric consumption and infant and one-to-five survival. We infer that there are serious limitations to concentrating exclusively on economic growth to improve well-being in LDCs.