Politics beyond identity: reconsidering the civil rights movement in Northern Ireland

The Northern Irish civil rights movement, like other minority or subaltern struggles, has been interpreted in terms of the national minority’s struggle for state recognition. Such frameworks emphasise the importance of identity in political conflict and tend to assume the state as guarantor of the recognition of identity. The difficulty here is that political possibilities that exceed the terms of identity and the state are obscured. Moreover, the interpretation of the Northern Irish conflict in these terms forms part of the consociational approach to conflict resolution which operates as normative underpinning to the post-conflict state. This article provides an alternative interpretation of the political significance of the civil rights movement. Rather than assuming the analytical usefulness and political significance of identity, I seek to trace the tension between identity and disidentification within the movement, drawing attention to the ways in which activists were aware of, and sought to respond to, the dangers of identity politics.     

Sport participation and positive development in older persons

In many Western countries, more and more people are living longer. As part of this demographic shift, increasing numbers are participating in Masters sport. In the past, sport was considered important for the development of young people; however, the potential for sport participation to affect positive development across the lifespan is now recognized. The purpose of this paper is to introduce conceptual frameworks from developmental psychology that are being used to understand youths’ positive development through sport, and to explore these frameworks in the context of sport as an avenue for positive development in older persons. To achieve this aim, we outline research on sport participation as it applies to youth development and consider relevant aspects as they broadly apply to development later in life. This discussion highlights the inherent paradox of sport participation—that it has the potential to provide considerable positive growth but also the potential for significant negative consequences. Finally, we explore areas of future research related to positive development in older persons through sport.     

Improving Cancer Dose–Response Characterization by Using Physiologically Based Pharmacokinetic Modeling: An Analysis of Pooled Data for Acrylonitrile-Induced Brain Tumors to Assess Cancer Potency in the Rat

Historically, U.S. regulators have derived cancer slope factors by using applied dose and tumor response data from a single key bioassay or by averaging the cancer slope factors of several key bioassays. Recent changes in U.S. Environmental Protection Agency (EPA) guidelines for cancer risk assessment have acknowledged the value of better use of mechanistic data and better dose–response characterization. However, agency guidelines may benefit from additional considerations presented in this paper. An exploratory study was conducted by using rat brain tumor data for acrylonitrile (AN) to investigate the use of physiologically based pharmacokinetic (PBPK) modeling along with pooling of dose–response data across routes of exposure as a means for improving carcinogen risk assessment methods. In this study, two contrasting assessments were conducted for AN-induced brain tumors in the rat on the basis of (1) the EPA's approach, the dose–response relationship was characterized by using administered dose/concentration for each of the key studies assessed individually; and (2) an analysis of the pooled data, the dose–response relationship was characterized by using PBPK-derived internal dose measures for a combined database of ten bioassays. The cancer potencies predicted for AN by the contrasting assessments are remarkably different (i.e., risk-specific doses differ by as much as two to four orders of magnitude), with the pooled data assessments yielding lower values. This result suggests that current carcinogen risk assessment practices overestimate AN cancer potency. This methodology should be equally applicable to other data-rich chemicals in identifying (1) a useful dose measure, (2) an appropriate dose–response model, (3) an acceptable point of departure, and (4) an appropriate method of extrapolation from the range of observation to the range of prediction when a chemical's mode of action remains uncertain.     

Managing Money in Marriage: Multilevel and Cross‐National Effects of the Breadwinner Role

We examine whether institutionalized practices and beliefs regarding breadwinning roles are associated with the choice of more or less equal money management strategies in marriage. Using cross‐national data from 21 country contexts in the International Social Survey Programme and multilevel modeling, we find that in contexts of shared breadwinning, there is a greater likelihood of shared management of money, controlling for the relative income contribution of each spouse. We also find some evidence that the effect of spouses’ relative income contributions diminishes in contexts of shared breadwinning. Our analysis comparing women’s and men’s money management is consistent with previous research indicating that women’s management may be more work than power.     

Can a team have too much cohesion? The dark side to network density

The goal of most work teams is high performance. Prior studies suggest that performance within work groups is influenced by that group’s social network topology. Research has generally revealed to date that group cohesion (i.e., network density) is positively related to team performance under certain conditions. However, more recent research has indicated that this is not the full story. Recent research suggests that an inverse curvilinear relationship exists between social network measures (of which group cohesion is one) and team performance. In response to the need for understanding this relationship more fully, and leveraging the promising new insights that can be garnered with the use of social network analysis (SNA), this study employs SNA as a tool to explore the structural cohesiveness of teams of travel agents. This research extends our understanding of the relationship between intragroup social network relations and team performance by confirming an inverse curvilinear relationship exists between group cohesion and team performance. This paper leverages email communication to determine the social networks of each team, and then examines such in light of team performance. In total, an analysis of more than 7 million emails was undertaken. This study was conducted with work teams within a service organization. Each team in the study carries out the same tasks, i.e., identical task contingency, yet represents a distinct unit of analysis. The study confirms that social network topology is a valuable predictor of team performance and confirms that, like so many other social network measures, group cohesion and team performance share an inverse ‘U’ shaped relationship, not strictly a positive one as previously posited.     

Leader vision formation and forecasting: The effects of forecasting extent,resources, and timeframe

Vision formation, and vision articulation, is held to be a central component of leader performance. Less is known, however, about the variables giving rise to viable visions. In the present effort, the impact of forecasting on vision formation was examined. Study participants were asked to write a speech describing their vision for a new school. Prior to writing this speech, participants were asked to forecast the outcomes of vision implementation. It was found that the extent of forecasting, along with forecasting of temporal and resources considerations, influenced the quality of vision statements. Forecasting was improved when people thought about causes, as opposed to goals, and implications, as opposed to facts. The implications of these findings for understanding leader performance in vision formation are discussed.     

Robustness of Approaches to ROC Curve Modeling under Misspecification of the Underlying Probability Model

A variety of statistical regression models have been proposed for the comparison of ROC curves for different markers across covariate groups. Pepe developed parametric models for the ROC curve that induce a semiparametric model for the market distributions to relax the strong assumptions in fully parametric models. We investigate the analysis of the power ROC curve using these ROC-GLM models compared to the parametric exponential model and the estimating equations derived from the usual partial likelihood methods in time-to-event analyses. In exploring the robustness to violations of distributional assumptions, we find that the ROC-GLM provides an extra measure of robustness.     

Multivariate analysis with a stationary time series covariance structure

When a covariance matrix has a pattern associated with a stationary time series on the errors, it is shown how certain hypothesis testing problems In multivariate analysis can be transformed into a product of two similar multivariate problems that each involve unpatterned covariance matrices.