Rethinking Gender and Violence: Agency,Heterogeneity, and Intersectionality

This paper is a consideration of the increasing diversity of images of gender violence and its victims, as both the grassroots antiviolence activists, and the scholars of the movements and the violence that inspires the activism, engage with cultural codes and feeling rules that tend to narrow the criteria for what constitutes gender violence and victimization. We are coming to better understand that social location, including but not limited to positions within patriarchal systems of stratification, shapes violence and victimization in many different ways. Since the inception of the women’s movement, the discourse of victimization has grappled with the implications of constructing ‘pure victims’, and despite the tremendous progress in the resources available to survivors of gender violence, we find the tensions between victimization and agency, and between simplicity and complexity, reemerging repeatedly in the stories victims, activists, and scholars tell about this social problem. Below, we review the sociological research and activism, in conjunction with the collective narratives in the social movements against gender violence, to show how the issues of perceptions of women who are framed as victims began and remain central to feminist research in this area. We also explore the newest visions of gender violence, that broaden theorizing and activism to include multiple dimensions of inequality and their intersections. Taken together, these debates reveal multifaceted layers of complexity that inform the contexts and lived experience of violence, and that continue to enter into our storytelling.     

A variable selection approach to monotonic regression with Bernstein polynomials

One of the standard problems in statistics consists of determining the relationship between a response variable and a single predictor variable through a regression function. Background scientific knowledge is often available that suggests that the regression function should have a certain shape (e.g. monotonically increasing or concave) but not necessarily a specific parametric form. Bernstein polynomials have been used to impose certain shape restrictions on regression functions. The Bernstein polynomials are known to provide a smooth estimate over equidistant knots. Bernstein polynomials are used in this paper due to their ease of implementation, continuous differentiability, and theoretical properties. In this work, we demonstrate a connection between the monotonic regression problem and the variable selection problem in the linear model. We develop a Bayesian procedure for fitting the monotonic regression model by adapting currently available variable selection procedures. We demonstrate the effectiveness of our method through simulations and the analysis of real data.     

Risk Factors for Clinically Significant Intimate Partner Violence Among Active‐Duty Members

Hypothesized risk factors for men's and women's clinically significant intimate partner violence (CS‐IPV) from four ecological levels (i.e., individual, family, workplace, community) were tested in a representative sample of active‐duty U.S. Air Force members (N = 42,744). When considered together, we expected only individual and family factors to account for unique variance in CS‐IPV perpetration. Hypothesized factors from all four ecological levels were related to men's CS‐IPV perpetration bivariately, but, as expected, only individual and family factors accounted for unique variance across ecological levels. For women, only risk factors from the individual and family levels were significantly related to CS‐IPV perpetration even bivariately. Results imply somewhat different risk profiles across gender and identify ecological risk factors of men's CS‐IPV not previously studied.     

Mental Rotation of Dynamic,Three‐Dimensional Stimuli by 3‐Month‐Old Infants

Mental rotation involves transforming a mental image of an object so as to accurately predict how the object would look if it were rotated in space. This study examined mental rotation in male and female 3‐month‐olds, using the stimuli and paradigm developed by Moore and Johnson (2008) . Infants were habituated to a video of a three‐dimensional object rotating back and forth through a 240° angle around the vertical axis. After habituation, infants were tested both with videos of the same object rotating through the previously unseen 120° angle, and with the mirror image of that display. Unlike females, who fixated the test displays for approximately equal durations, males spent significantly more time fixating the familiar object than the mirror‐image object. Because familiarity preferences like this emerge when infants are relatively slow to process a habituation stimulus, the data support the interpretation that mental rotation of dynamic three‐dimensional stimuli is relatively difficult—but possible—for 3‐month‐old males. Interpretation of the sex differences observed in 3‐ and 5‐month‐olds’ performances is discussed.     

Biased Bootstrap Methods for Reducing the Effects of Contamination

Contamination of a sampled distribution, for example by a heavy-tailed distribution, can degrade the performance of a statistical estimator. We suggest a general approach to alleviating this problem, using a version of the weighted bootstrap. The idea is to 'tilt' away from the contaminated distribution by a given (but arbitrary) amount, in a direction that minimizes a measure of the new distribution's dispersion. This theoretical proposal has a simple empirical version, which results in each data value being assigned a weight according to an assessment of its influence on dispersion. Importantly, distance can be measured directly in terms of the likely level of contamination, without reference to an empirical measure of scale. This makes the procedure particularly attractive for use in multivariate problems. It has several forms, depending on the definitions taken for dispersion and for distance between distributions. Examples of dispersion measures include variance and generalizations based on high order moments. Practicable measures of the distance between distributions may be based on power divergence, which includes Hellinger and Kullback–Leibler distances. The resulting location estimator has a smooth, redescending influence curve and appears to avoid computational difficulties that are typically associated with redescending estimators. Its breakdown point can be located at any desired value ε∈ (0, ½) simply by 'trimming' to a known distance (depending only on ε and the choice of distance measure) from the empirical distribution. The estimator has an affine equivariant multivariate form. Further, the general method is applicable to a range of statistical problems, including regression.     

Telling a Good Story: Using Narratives in Vocational Rehabilitation With Veterans

Because of the high chronicity of work-related problems in a Veterans Administration Medical Center population, many of the traditional methods of career assessment, counseling, and placement have proven ineffectual. In this article the authors detail the development of an intervention based on narrative or storytelling principles. They describe efforts to introduce this model to patients as well as to relate patients' stories to vocational outcomes. The usefulness of stories as an organizing principle for counselors and clients is discussed, and suggestions are offered for further uses of storytelling interventions.