Schulman's urban lesbian: a hobosexual pedestrian rhetoric

The following article reads the protagonist in Sarah Schulman's Girls, Visions and Everything as not only lesbian, but as hobosexual-a concept representative of anti-capitalist practices in both sex and labor. The hobosexual is developed as an extension of the lesbian flaneur, as a concept that requires reading Schulman's urban lesbian at the intersection of class and sexuality. Lila Futuransky's sexual identity is suspended and complicated through an emphasis on her desire for queer mobility; her urban movements connect her to hobo history, but also expose the effects of capitalism that thwart her urban movement.     

Women’s Cultures and Social Movements in Global Contexts

This article examines the role that women’s cultures and communities have played in political protest and social change. We argue that women’s cultures, which form around the reproductive roles, labor, and emotional expectations placed on women, have been used to express femininity and as cultural resources or “toolkits” to transform male‐dominated spheres of society. We begin by defining women’s cultures, emphasizing that there is no universal women’s culture because the structural arrangements and cultural meanings of gender vary by race, ethnicity, class, nationality, and political context. We then review research that demonstrates the significance of women’s cultures for the collective identities and tactics deployed in social movements and protest, demonstrating how the study of women’s cultures and gender processes in social movements has contributed empirically and theoretically to understanding social movements. We examine women’s cultures and collective identities in communities as wide ranging as self‐help groups, lesbian communities, feminist organizations, and anti‐feminist groups. We then draw on prevailing theories of cultural change in globalization studies (cultural differentialism, cultural convergence, and cultural hybridization) to understand how women’s cultures have contributed to social change. We conclude by identifying future directions for the study of women’s cultures and social movements.     

Poly-victimization and resilience portfolios: Trends in violence research that can enhance the understanding and prevention of elder abuse

ABSTRACT

This literature review assesses the current state of knowledge about elder abuse and mistreatment, focusing on the lack of incorporation of all forms of elder victimization and the benefits of a poly-victimization framework. This review also includes existing knowledge on risk factors and calls for a greater focus on protective factors and a greater inclusion on family and community factors. Future research, prevention, and intervention would benefit from considering the true burden of elder victimization and a greater implementation of strengths-based approaches to programs.     

Clarifying Criminological and Social Psychological Theory: A Second Look at the Relationship between Injustice and General Strain Theory

Research in social psychology and criminology reveals a great deal of overlap when explaining the relationship between injustice and criminal or deviant behavior. The organizational justice literature examines how the major forms of justice (distributive, procedural, and interactional) combine and interact to influence criminal or deviant behaviors in the workplace. While general strain theory (GST) recognizes that injustice is an aspect of strain that fosters criminal coping in multiple contexts, it does not detail the additive and interactive effects that these types of injustice may have on crime. Nevertheless, GST can provide a useful theoretical lens for understanding how injustice facilitates criminal behavior. This article provides an overview of major findings regarding the relationship between injustice and crime according to a GST framework, concluding with a discussion of new directions for future research.     

The Role of Behavioral Responses in the Total Economic Consequences of Terrorist Attacks on U.S. Air Travel Targets

U.S. airports and airliners are prime terrorist targets. Not only do the facilities and equipment represent high‐value assets, but the fear and dread that is spread by such attacks can have tremendous effects on the U.S. economy. This article presents the methodology, data, and estimates of the macroeconomic impacts stemming from behavioral responses to a simulated terrorist attack on a U.S. airport and on a domestic airliner. The analysis is based on risk‐perception surveys of these two scenarios. The responses relate to reduced demand for airline travel, shifts to other modes, spending on nontravel items, and savings of potential travel expenditures by U.S. resident passengers considering flying domestic routes. We translate these responses to individual spending categories and feed these direct impact results into a computable general equilibrium (CGE) model of the U.S. economy to ascertain the indirect and total impacts on both the airline industry and the economy as a whole. Overall, the estimated impacts on GDP of both types of attacks exceed $10B. We find that the behavioral economic impacts are almost an order of magnitude higher than the ordinary business interruption impacts for the airliner attack and nearly two orders of magnitude higher for the airport attack. The results are robust to sensitivity tests on the travel behavior of U.S. residents in response to terrorism.     

A comparison of Japanese failure models: Hybrid neural networks,logit models,and discriminant analysis

This article looks at the ability of a relatively new technique, hybrid artificial neural networks (ANNs), to predict Japanese banking and firm failures. These models are compared with traditional statistical techniques and conventional ANN models. The results suggest that hybrid neural networks outperform all other models in predicting failure for one year prior to the event. This suggests that for researchers, policymakers, and others interested in early warning systems, the hybrid network may be a useful tool for predicting banking and firm failures.