Scene of the Crime

The brutal gang rape and murder of a young woman on a New Delhi bus became a media spectacle, flooding the news stream worldwide with articles, commentaries, blogs, and images. Drawing on theoretical insights from transnational feminism and social geography, this analysis focuses on the mediated deployment of space and place as potent signifiers of gender and sexuality in news coverage of the event. Using feminist critical discourse analysis to interrogate the verbal and visual texts in mainstream US news media during the first two weeks of coverage, this analysis found that the American news media invoked archetypes of the Third World as a primitive and undisciplined place populated by savage males and subordinate women, a space in which women's mobility is constrained and where state authority is complicit in rendering women vulnerable to sexual assault due to its incompetence. The study found that through this limited and ethnocentric lens, the US news media reinscribed social geographies of power in terms of sex and gender. The overall tenor of the coverage obscured the incidence of sexual violence in the First World/global North, effectively countermanding transnational feminist praxis and collective action against the worldwide problem of sexual violence against women.     

A modification of the Fisher-Cornish approximation for the student t percentiles

An asymptotic expansion of the Student t distribution is derived by expanding the standardized Student t distribution in terms of the normal distribution. This expansion is inverted to obtain corresponding asymptotic expansions for the Student t percentiles as functions of the standard normal percentiles0 Using the first two, three or four terms of these expansions, we get approximations of the Student t percentiles which are generally more accurate than the approximations given by Fisher and Cornish(1960) and Koehler (1983).An approximation of the distribution function obtained from this expansion is compared with the approximations discussed by Ling (1978) andfound to be more accurate for moderate degrees of freedom.     

Parenting Among Mothers With Bipolar Disorder: Strengths,Challenges, and Service Needs

Bipolar disorder is a severe form of mental illness with a primary disruption in mood. With fluctuating phases of mania and depression, bipolar disorder can have a serious impact on all activities of daily living, including parenting. Ten mothers with bipolar disorder were interviewed to understand their strengths, challenges, and service needs in parenting. Results describe their love for their children, problems in disciplining, and need for more support groups, among other findings. Interestingly, manic and hypomanic phases are reported to provide more energy to parent. Implications of the study for social work practice and research are discussed.     

Do securely and insecurely attached children derive well‐being from different forms of gender identity?

We examined whether attachment security moderates influences of two gender identity variables—felt gender typicality and felt pressure for gender differentiation—on preadolescents' well‐being. We tested two hypotheses. The first was that attachment security protects children from the distress that can stem from feeling gender atypical or from feeling pressure for gender conformity. The second was that secure children derive well‐being from believing they are similar to same‐gender peers whereas insecure children derive well‐being from believing it important to be different from other‐gender peers. We assessed children's attachment security, gender identity, and well‐being (self‐esteem, internalizing problems) in two successive years (N = 211, M initial age = 10.1 years). Results supported the second hypothesis. Attachment security may govern children's contingencies of well‐being.     

Multi-objective simulation optimization using data envelopment analysis and genetic algorithm: Specific application to determining optimal resource levels in surgical services

Simulation is a powerful tool for modeling complex systems with intricate relationships between various entities and resources. Simulation optimization refers to methods that search the design space (i.e., the set of all feasible system configurations) to find a system configuration (also called a design point) that gives the best performance. Since simulation is often time consuming, sampling as few design points from the design space as possible is desired. However, in the case of multiple objectives, traditional simulation optimization methods are ineffective to uncover the efficient frontier. We propose a framework for multi-objective simulation optimization that combines the power of genetic algorithm (GA), which can effectively search very large design spaces, with data envelopment analysis (DEA) used to evaluate the simulation results and guide the search process. In our framework, we use a design point's relative efficiency score from DEA as its fitness value in the selection operation of GA. We apply our algorithm to determine optimal resource levels in surgical services. Our numerical experiments show that our algorithm effectively furthers the frontier and identifies efficient design points.     

Regularity of the Generalized Quadratic Production Model: A Counterexample

Recently there has been a growing tendency to impose curvature, but not monotonicity, on specifications of technology. But regularity requires satisfaction of both curvature and monotonicity conditions. Without both satisfied, the second order conditions for optimizing behavior fail and duality theory fails. When neither curvature nor monotonicity are imposed, estimated flexible specifications of technology are much more likely to violate curvature than monotonicity. Hence it has been argued that there is no need to impose or check for monotonicity, when curvature has been imposed globally. But imposition of curvature may induce violations of monotonicity that otherwise would not have occurred. We explore the regularity properties of our earlier results with a multiproduct financial technology specified to be generalized quadratic. In our earlier work, we used the usual approach and accepted the usual view. We now find that imposition of curvature globally and monotonicity locally does not assure monotonicity within the region of the data. Our purpose is to alert researchers to the kinds of problems that we encountered and which we believe are largely being overlooked in the production modelling literature, as we had been overlooking them.