Psychosocial and Symbolic Dimensions of the Breast Explored through a Visual Matrix

This article explores knowledge about the breast in lived experience, addressing a gap in empirical research on a highly gendered cultural trope and embodied organ. We present findings from a study that used a free-associative psychosocial method—the Visual Matrix—in order to stimulate expressions of tacit aspects of the breast, aiming to generate an understanding of relations between embodied and enculturated experiences. Our data revealed how an aesthetic of the grotesque in one matrix allowed the mainly female group to use humour as a “creative psychic defence” against culturally normative and idealized aspects of the breast. This was expressed through symbolizations, affectively delivered in an exuberant mode, emphasizing the breast‘s potency and its potential for nurturance and “weaponization”. Through this feminine poetic, life and death became inseparable yet ambiguous dimensions of breasts. The breast’s life-affirming qualities included the sensual, the visceral, and the joyful—a material-semiotic knowing. This was incontrast to a second matrix, which expressed a more ambivalent and troubled response, and in which associations were weighted towards the spectacular breast of an ocular-centric culture that privileges hetero-masculine looking. We discuss differences between the two matrices in terms of psychosocial tensions between embodied and enculturated experiences.     

Hunting where the ducks are: activating support for Donald Trump in the 2016 Republican primary

ABSTRACT

Donald Trump’s victory in the 2016 Republican primary defied the predictions of many politicians, pundits, and political scientists. Yet, while Trump’s nomination was hard to predict, it is not difficult to explain. We show that Trump’s campaign message succeeded by activating longstanding, but often unappreciated, sentiments among Republican voters about immigration and economic entitlements. In particular, his support was concentrated among Republican voters with hawkish views on immigration and relatively liberal views on economic policy. Moreover, these views preceded support for Trump, rather than the other way around. Drawing on an original panel survey, we show that attitudes about immigration and economic entitlements measured in 2011 strongly predicted support for Trump in 2016. Although Trump’s coalition struck many observers as odd, it was predicated on a set of attitudes that is not unusual among Republican voters. He simply hunted where the ducks are.     

Social Exclusion: The Interplay of Group Goals and Individual Characteristics

Past research has shown that adolescents justify social exclusion based on concerns for group functioning, and yet, to date, no study has evaluated whether group functioning justifications shift or remain stable across different exclusion contexts. In this study, we systematically manipulated exclusion context (i.e., competitive or noncompetitive soccer groups) and individual characteristics of the target of exclusion to test the nature of the interaction between these factors during exclusion judgments. Adolescents’ (N = 201; 61 % Female) exclusion judgments differed across contexts only when an individual’s ability was under consideration. Intergroup (i.e., gender, nationality) and interpersonal (i.e., aggression, shyness) characteristics overwhelmed contextual considerations. Results indicate the complexity of factors weighed by adolescents when making exclusion judgments, and suggest the need for extension of the present findings to understand more fully the interaction between the context of exclusion and individual characteristics in exclusion judgments.     

Analysis of Cluster-Randomized Experiments: A Comparison of Alternative Estimation Approaches

Lynn Vavreck UCLA, Department of Political Science, 4289 Bunche Hall Box 951472, Los Angeles, CA 90095-1472 e-mail: lvavreck{at}ucla.edu (corresponding author) Analysts of cluster-randomized field experiments have an arrayof estimation techniques to choose from. Using Monte Carlo simulation,we evaluate the properties of point estimates and standard errors(SEs) generated by ordinary least squares (OLS) as applied toboth individual-level and cluster-level data. We also compareOLS to alternative random effects estimators, such as generalizedleast squares (GLS). Our simulations assess efficiency acrossa variety of scenarios involving varying sample sizes and numbersof clusters. Our results confirm that conventional OLS SEs areseverely biased downward and that, for all estimators, gainsin efficiency come mainly from increasing the number of clusters,not increasing the number of individuals within clusters. Wefind relatively minor differences across alternative estimationapproaches, but GLS seems to enjoy a slight edge in terms ofthe efficiency of its point estimates and the accuracy of itsSEs. We illustrate the application of alternative estimationapproaches using a clustered experiment in which Rock the VoteTV advertisements were used to encourage young voters in 85cable TV markets to vote in the 2004 presidential election. Authors' note: We thank Rock the Vote for permission to usetheir public service announcements in this field experiment.The authors are grateful to Alan Gerber for suggestions throughoutthe design phase of this project. We are also grateful to DanKotin and Margaret Coblentz, who worked with cable operators,distributed the advertisements, and assembled the data. We thankTerence Leong for his programming expertise. Replication materialsare available on the Political Analysis Web site.     

Rape Co-occurrence: Do Additional Crimes Affect Victim Reporting and Police Clearance of Rape?

Despite the increased research attention given to rape and violence against women, little is known about rape co-occurrence, or rape incidents that involve another crime. Although previous research has found certain incident characteristics increase the likelihood that a victim reports her rape to police and that the offender is arrested and prosecuted, the relationship between co-occurrence and these responses is unknown. Given this gap in the literature, the main goal of the present research is to provide an initial understanding of rape co-occurrence and its effect on victim reporting and police clearance. To explore these issues, this study uses two national data sources that collect the requisite incident-level information: the National Crime Victimization Survey and the Uniform Crime Reporting Program’s National Incident-Based Reporting System. Few rapes are found to co-occur with other crimes. When rapes do occur with other crimes, though, they are more likely than solo-occurring rapes to involve weapons, strangers, additional injury to the victim, and multiple offenders. Rapes that co-occur also are more likely to be reported to police and cleared by police than rapes that occur with no other crimes.

Understanding participant perspectives: Q‐methodology in national forest management

Many policy practitioners and theorists have argued that value‐free, objective solutions to policy problems do not exist. While participant values and subjective viewpoints influence policy problems, empirically determining participant perspectives and preferences has been a daunting task. This paper demonstrates how Q‐methodology, a technique for systematically revealing subjective perspectives, can contribute to better problem identification and definition; estimation and specification of policy option; and selection, implementation, and evaluation of policies. Two case studies in national forest management are reviewed and demonstrate how Q‐methodology can (1) identify important internal and external constituencies, (2) define participant viewpoints and perceptions, (3) provide sharper insight into participant‐preferred management directions, (4) identify criteria that are important to participants, (5) explicitly outline areas of consensus and conflict, and (6) develop a common view toward the policy. © 1999 by the Association for Public Policy Analysis and Management.     

And . . . Action! Using Film to Learn about Foreign Policy

Here we recount the experience of designing and executing an experimental summer course, at two different universities, that used popular films as primary texts to facilitate active learning about foreign policy. One course, designed for non–political science majors, was offered at the introductory level as credit/no credit; the other, intended for students with some background in political science and international affairs, was offered as an upper-level graded course. We held many of the films and readings constant across the two courses so that we could track similarities and differences between the courses. Here we report on why and how we designed the movie courses and what films and readings we used. We also evaluate the courses by drawing on the assessment mechanisms we employed as well as the students' evaluations. In short, although there are some important trade-offs involved in designing a movie course, we found the experience to be a positive one that prioritized student learning in a relaxed and novel way and achieved with some success the procedural and conceptual learning goals that we set forth.     

Subprime Lending Foreclosures,Crime, and Neighborhood Disorganization: Beyond Internal Dynamics

Research and theorizing about communities and crime has largely focused on internal neighborhood dynamics, to the neglect of factors external to the community that may be important processes in shaping community crime rates. We argue that subprime lending practices and the foreclosures that result may result in higher crime rates. We utilize data from the Summit County Lending Study, the Akron Police Department, and the 2000 U.S. Census to test the hypothesis that subprime lending foreclosures increase crime in urban neighborhoods. We find that subprime lending foreclosures have substantial impact on crime counts, net of controls. We conclude that additional research and theorizing about the role of external factors in the disorganization model is required.