Silencing Women's Voices: Nuisance Property Laws and Battered Women

There is little documentation about how nuisance property laws, which fine people for excessive 911 calls, affect victims of domestic violence. In St. Louis, we found that police and prosecutors believe that the law benefits victims of domestic violence by providing them with additional services. By contrast, advocates for domestic violence victims believe that the law undermines battered women's access to housing and discourages them from calling 911. Using qualitative data, we analyze how the organizational structures and dynamics within which each group works give rise to different stocks of working knowledge. We conclude that law enforcement officials are unaware of these harms because women's voices and experiences are marginalized during the enforcement process. This research reveals mechanisms through which law enforcement policies reinforce gender inequality, and illustrates some ways in which gender relations and power come into play in what, on their surface, appear to be gender‐neutral laws.     

Political ideology and nuclear energy: Perception,proximity, and trust

Political ideology is an increasingly powerful force in support of public policy. Historically, nuclear energy has found more support among political conservatives. This study updates the literature on political ideology and support for nuclear energy by examining how political ideology is associated with perceptions of nuclear energy and trust of nuclear information sources. After excluding participants with incomplete data, and participants within 50 miles of a nuclear reactor, the analytical sample size for the analysis examining political ideology and perceptions of nuclear energy was 4153. The analytical sample includes a total of 1035 participants within a 50-mile radius of INL, 710 participants from within Idaho who lived further than 50 miles from INL, 1899 participants from other states (more than 50 miles from a nuclear reactor), and 509 Non-Idaho participants living within 50 miles of a nuclear reactor. Logistic regression was used to determine how political ideology was associated with perceptions of nuclear energy and trust in different sources regarding radioactive waste, after controlling for demographics and location. While liberal participants near INL were less favorable towards nuclear energy, and more trusting in impact scientists to tell the truth about radioactive waste than their conservative counterparts, this was not consistent across the US. Our findings reveal the complexity of political ideology and the perceptions of nuclear issues and how proximity influences perceptions. The perceptions of political moderates were particularly important in providing a more complex understanding of political ideology and nuclear energy issues.     

Does gang membership pay? Illegal and legal earnings through emerging adulthood*

Gang membership is believed to impede success in the legitimate economic market while simultaneously supporting success in the illegal market. We extend the study of the economic effects of gang membership by using a within‐ and between‐individual analytic design, decomposing gang membership into multiple statuses (i.e., entering a gang, continuously in a gang, leaving a gang, and inactive gang membership), examining legal and illegal earnings simultaneously, and accounting for factors endogenous to gang membership that may contribute to economic achievement. By using panel data from 1,213 individuals who participated in the Pathways to Desistance Study to conduct a multilevel path analysis, we find that active gang membership status is unrelated to legal earnings. Alternatively, entering a gang is associated with increased illegal earnings, attributable to changes in delinquent peers and drug use, whereas leaving a gang has a direct relationship with decreased illegal earnings. Our results indicate that the positive economic effect of gang membership (i.e., illegal earnings and total earnings) is short‐lived and that, on balance, the sum of the gang membership experience does not “pay” in terms of overall earnings.     

Identification of Eight Synthetic Cannabinoids,Including 5F‐AKB48 in Seized Herbal Products Using DART‐TOF‐MS and LC‐QTOF‐MS as Nontargeted Screening Methods

Synthetic cannabinoids are sprayed onto plant material and smoked for their marijuana‐like effects. Clandestine manufacturers modify synthetic cannabinoid structures by creating closely related analogs. Forensic laboratories are tasked with detection of these analog compounds, but targeted analytical methods are often thwarted by the structural modifications. Here, direct analysis in real time coupled to accurate mass time‐of‐flight mass spectrometry (DART‐TOF‐MS) in combination with liquid chromatography quadruple time‐of‐flight mass spectrometry (LC‐QTOF‐MS) are presented as a screening and nontargeted confirmation method, respectively. Methanol extracts of herbal material were run using both methods. Spectral data from four different herbal products were evaluated by comparing fragmentation pattern, accurate mass and retention time to available reference standards. JWH‐018, JWH‐019, AM2201, JWH‐122, 5F‐AKB48, AKB48‐N‐(4‐pentenyl) analog, UR144, and XLR11 were identified in the products. Results demonstrate that DART‐TOF‐MS affords a useful approach for rapid screening of herbal products for the presence and identification of synthetic cannabinoids.     

Patella sex determination by 3D statistical shape models and nonlinear classifiers

Sex determination is one of the essential steps in personal identification of an individual from skeletal remains. Most elements of the skeleton have been subjected to discriminant function analysis for sex estimation, but little work has been done in terms of the patella. This paper proposes a new sex determination method from the patella using a novel automated feature extraction technique. A dataset of 228 patellae (95 females and 133 males) was amassed from the William M. Bass Donated Skeletal Collection from the University of Tennessee and was subjected to noninvasive high resolution computed tomography (CT). After the CT data were segmented, a set of features was automatically extracted, normalized, and ranked. The segmentation process with surface smoothing minimizes the noise from enthesophytes and ultimately allows our methods to distinguish variations in patellar morphology. These features include geometric features, moments, principal axes, and principal components. A feature vector of dimension 45 for each subject was then constructed. A set of statistical and supervised neural network classification methods were used to classify the sex of the patellar feature vectors. Nonlinear classifiers such as neural networks have been used in previous research to analyze several medical diagnosis problems, including quantitative tissue characterization and automated chromosome classification. In this paper, different classification methods were compared. Classification success ranged from 83.77% average classification rate using labels from a Fuzzy C-Means (FCM) clustering step, to 90.3% for linear discriminant classification (LDC). We obtained results of 96.02% and 93.51% training and testing classification rates, respectively, using feed-forward backpropagation neural networks (NN). These promising results using newly developed features and the application of nonlinear classifiers encourage the usage of these methods in forensic anthropology for identifying the sex of an individual from incomplete skeletons retaining at least one patella.     

Bringing Community Based Participatory Research to Domestic Violence Scholarship: an Online Toolkit

In the absence of ongoing involvement in the communities that are the subjects of research, even well-intentioned researchers can develop questions that are not relevant to community needs, employ methods that hurt community members, or disseminate findings in ways that are inaccessible to those most affected. Recognizing these harms, a growing number of domestic violence (DV) researchers have embraced community-based participatory research (CBPR), an approach in which researchers and community members share power at every level of the research process, co-creating knowledge that can be applied to enhance community well-being. Despite growing interest in this approach, however, there are insufficient opportunities for interested researchers to learn how to actually engage in it, especially in the DV context. To remedy this gap, the authors of this paper collaborated to develop an online toolkit for emerging researchers interested in CPBR. This brief report frames the need for CBPR in DV research using short vignettes that come from our own research experience; introduces Power Through Partnerships: A CBPR Toolkit for Domestic Violence Researchers; and presents recommendations for developing, promoting, and disseminating future CBPR research. We chose to announce the development and availability of this toolkit in an academic journal in order to highlight its scholarly and practical relevance for researcher audiences who might be less familiar with the CBPR approach.     

Evaluating Brazilian South–South Cooperation in Haiti

I focus on evaluating Brazilian development and humanitarian cooperation in Haiti to answer how emerging providers such as Brazil are contributing to global development through cooperation. The paper establishes criteria for evaluation, arguing that global standards for aid effectiveness need to be expanded. I argue that when assessed on ownership, efficiency and sustainability, cooperation holds several advantages and limits, such as misplaced assumptions that Brazil’s approach is appropriate elsewhere. The discussion is rooted in the context of Haiti in order to underline how outcomes are not pre-determined, but rather depend on the model’s interaction with the partner context.