The role of gender in officially reported intimate partner abuse

The role of gender in intimate partner abuse (IPA) perpetration and victimization has been debated for the last several decades. Two perspectives have emerged regarding this debate. Researchers from the family violence perspective argue that men and women are violent at near equal rates and call for a reframing of the issue from one of woman battering to one of family violence. In contrast, feminist researchers maintain that men make up the majority of perpetrators and women the majority of victims in cases of intimate partner abuse. While some have put forth arguments explaining these differences, this debate is far from over. Using official reported cases of IPA, this study examines 815 IPA cases of which 13% were female perpetrated in an attempt to clarify gender differences and similarities among male and female offenders beyond prevalence rates. Special attention is paid to contextual differences and similarities and implications this research has for future research and policy.     

A simple DNA extraction method for marijuana samples used in amplified fragment length polymorphism (AFLP) analysis

As a first step in developing a molecular method for the individualization of marijuana samples, we evaluated a plant DNA extraction kit. The QIAGEN plant DNeasy method uses a spin column format for recovery of DNA and is effective for obtaining high molecular weight DNA from leaf, flower (bud), and seed samples of marijuana. The average DNA yield was 125-500 ng per 100 milligrams of fresh plant tissue. The recovered DNA was of polymerase chain reaction (PCR) quality as measured by the ability to generate reproducible amplified fragment length polymorphism (AFLP) profiles. AFLP is a technique used to create a DNA profile for plant varieties and is being applied to marijuana samples by the authors to link growers and distributors of clonal material. The QIAGEN plant DNeasy method was simple, efficient, and reproducible for processing small quantities of marijuana into DNA.     

“Plug into Choice”? The Trouble with Common-Sense Participation in a Smart Electric Grid

Smart electric grids add digital technologies to the grid. While some suggest that they offer many environmental and social benefits, others remain critical and call them a neoliberal project. Considering smart grids a boundary object [Star, Susan L., and James R. Griesemer. 1989. “Institutional Ecology, Translations and Boundary Objects: Amateurs and Professionals in Berkeley’s Museum of Vertebrate Zoology, 1907–39.” Social Studies of Science 19 (3): 387–420], I examine how multiple social groups come together in cooperation and conflict in the installation of one smart grid. In what follows, I first argue that participation is Gramscian common sense (1971), a taken-for-granted good in producing a smart grid. Gramsci points out that common sense can be used to reinforce oppressive ideologies of a hegemonic status quo, but that it also contains “good sense” that can be developed into counter-hegemonic narratives and movements. Second, I argue that in the course of cooperation and conflict, the smart grid indeed becomes more neoliberal, and this occurs through participation. While the utility often seeks or accepts public participation, the meaning of participation gradually becomes limited to individualistic and financially motivated “choice.” In the discussed case, many of the (less neoliberal) social and environmental benefits of the grid and more collectivist forms of participation were precluded. This article offers a grounded examination of a smart grid and a sympathetic critique of common-sense participation.     

Can Cephalometrics Discriminate Between the Sexes in a Diverse Juvenile Sample?

A critical component of the biological profile is sex estimation. Methods commonly used for sex estimation in adults do not work well for juveniles. Population‐specific studies have used cephalometrics to estimate juvenile sex with 80–90% accuracy. Our study attempts to estimate sex in individuals less than 18 years of age using a sample of 1618 lateral cephalograms incorporating all three Angle Class occlusions as well as population diversity. For the sample as a whole, 10 skeletal cephalometrics were found to have significant differences between the sexes. Males and females classify correctly about 50% of the time. Dividing the sample by age groups and race/ethnicity improves results for older age groups and Native Americans, Hispanics, and Asian Americans. Our results indicate that cephalometrics are not useful in determining sex of unidentified juveniles when age and race are not known.