The Future of Sociology

The variety of efforts that have constituted the twentieth-century sociological project are to be celebrated. Although I am somewhat ambivalent about sociology's future, I am confident of its substantial continuation. Yet I worry about its future as an identifiable scholarly craft on U.S. campuses. Contemporary working sociologists must protect their craft's legacy by making a nurturing place for young scholars in the US. academy.     

Unpacking cosmopolitanism for the social sciences: a research agenda

This article calls for a re-conceptualization of the social sciences by asking for a cosmopolitan turn. The intellectual undertaking of redefining cosmopolitanism is a trans-disciplinary one, which includes geography, anthropology, ethnology, international relations, international law, political philosophy and political theory, and now sociology and social theory. Methodological nationalism, which subsumes society under the nation-state, has until now made this task almost impossible. The alternative, a 'cosmopolitan outlook', is a contested term and project. Cosmopolitanism must not be equalized with the global (or globalization), with 'world system theory' (Wallerstein), with 'world polity' (Meyer and others), or with 'world-society' (Luhmann). All of those concepts presuppose basic dualisms, such as domestic/foreign or national/international, which in reality have become ambiguous. Methodological cosmopolitanism opens up new horizons by demonstrating how we can make the empirical investigation of border crossings and other transnational phenomena possible.     

Why ‘class’ is too soft a category to capture the explosiveness of social inequality at the beginning of the twenty‐first century

We can distinguish four positions on the continuing, or maybe even increasing, relevance of the category of class at the beginning of the twenty‐first century depending on the extent to which they accord central importance to (1) the reproduction or (2) the transformation of social classes with regard to (3) the distribution of goods without bads or (4) the distribution of goods and bads. One could say that Dean Curran introduces the concept of ‘risk‐class’ to radicalize the class distribution of risk and charts who will able to occupy areas less exposed to risk and who will have little choice but to occupy areas that are exposed to the brunt of the fact of the risk society. As he mentioned it is important to note that this social structuring of the distribution of bads will be affected not only by class, but also by other forms of social structuration of disadvantage, such as gender and race. In order to demonstrate that the distribution of bads is currently exacerbating class differences in life chances, however, Curran concentrates exclusively on phenomena of individual risks. In the process, he overlooks the problem of systemic risks in relation of the state, science, new corporate roles, management the mass media, law, mobile capital and social movements; at the same time, his conceptual frame of reference does not really thematize the interdependence between individual and systemic risks. Those who reduce the problematic of risk to that of the life chances of individuals are unable to grasp the conflicting social and political logics of risk and class conflicts. Or, to put it pointedly: ‘class’ is too soft a category to capture the explosiveness of social inequality in world risk society.     

Transforming Communities: Restorative Justice as a Community Building Strategy

Restorative justice is entering the social work literature as a strategy that can transform lives harmed by violence. However, the literature has yet to explore how restorative justice can transform communities. Despite the lack of published information, communities across the globe and the United States are experiencing important benefits from restorative justice-based interventions. This article explores 4 restorative justice strategies that seek to transform communities: restorative boards, community conferencing, community restorative support, and truth and reconciliation commissions. The examination of the strategies includes case studies that are used to support a larger discussion of application, practice, outcomes, evaluation literature, and critiques.     

Development and validation of a condom self-efficacy scale for college students.

This study proposed to develop and validate a scale for the college population that measures self-efficacy in using condoms. The Condom Use Self-Efficacy Scale (CUSES) was derived from several sources and consisted of 28 items describing an individual's feelings of confidence about being able to purchase condoms, put them on and take them off, and negotiate their use with a new sexual partner. This scale was administered to a sample of 768 college students. It was found to possess adequate reliability (Cronbach's alpha = .91; test-retest correlation = .81) and correlated well with the Attitude Toward the Condom Scale (r = .51) and the Contraceptive Self-Efficacy Scale for women (r = .55). Our scale also correlated with a measure of intention to use condoms (r = .40) but was unrelated to a measure of social desirability. Students who differed on measures of previous condom use as well as on sexual intercourse experience also showed significant differences on this scale in the expected direction, indicating evidence of this scale's discriminant validity. The potential uses of this scale in a college population are discussed, along with the issues underlying condom usage self-efficacy.     

Children of the condemned: grieving the loss of a father to death row

This article explores the effects of a death sentence and execution on the children of the accused. Insight into the unique bereavement of this population is provided, while contributing to the literature on death and dying. The experience of losing a father to death row and eventual execution is compared to the wider population of children with incarcerated parents and it is determined that children of death row inmates contend with a much more complicated grief process, one that has gone largely unstudied. This article contains a brief discussion of disenfranchised grief and nonfinite loss, two theories that, we argue, shape the children's grief process. The results section of the article uses qualitative data gathered from 19 children to explore the role that nonfinite loss and disenfranchised grief share in the nature of their bereavement. Our discussion focuses on the impact of stigma and violence on the grieving process. Following a discussion of the unique challenges confronting the children of death row inmates is a discussion of the implications that their experience has for practice.     

Changes in Union Membership Over Time: A Panel Analysis for West Germany

Abstract. Despite the apparent stability of the wage bargaining institutions in West Germany, aggregate union membership has been declining dramatically since the early 1990s. However, aggregate gross membership numbers do not distinguish between employment status and it is impossible to disaggregate these sufficiently. This paper uses four waves of the German Socio‐economic Panel in 1985, 1989, 1993, and 1998 to perform a panel analysis of net union membership among employees. We estimate a correlated random‐effects probit model suggested by Chamberlain (Handbook of Econometrics, Vol. II, Amsterdam: Elsevier Science, 1984) to take proper account of individual‐specific effects. Our results suggest that at the individual level the propensity to be a union member has not changed considerably over time. Thus, the aggregate decline in membership is due to composition effects. We also use the estimates to predict net union density at the industry level based on the IAB employment subsample for the time period 1985–97.     

Understanding the metabolism of urban-rural ecosystems

A Multi-sectoral Systems Analysis (MSA) methodology is presented as a tool for identifying the level of importance of flows of energy and materials (water, nitrogen, phosphorus, and carbon) as they pass through an anthropogenically manipulated system. That system comprises a web of processes, across a total of five industrial sectors: water, forestry, food, energy and waste management. Given the heterogeneous nature and quality of data sources, the propagation of data uncertainty is considered through a Regionalized Sensitivity Analysis (RSA) procedure, based on the Monte Carlo simulation approach. The MSA reveals the advantages of studying different material cycles simultaneously, in addition to interpreting them individually, while gaining insight into the magnitude of the associated flows. The proposed framework is illustrated for a case study of the Upper Chattahoochee Watershed, in which parts of Metro Atlanta are located. Results show that natural flows are predominant in the water and energy cycles. Direct human manipulations of water, i.e., withdrawals for public supply and power generation, are less than 25% of the amount received as precipitation. Solar input is 200 times the total demand for electricity. Apart from sun-light, gasoline for transportation is the flow with the largest content of energy; it is responsible for providing 71% of the total demand of fuels for uses other than power generation. In contrast, cycles of nutrients such as N and C are strongly related to the flows of fuels, mainly coal and natural gas. In a second tier, fertilizer use and the poultry industry in the region are significant for the use of nitrogen. Phosphorus fluxes are similarly dominated by the food sector and, as a consequence, to a lesser extent by the water sector, because of water??s role as a waste-conveyance medium.     

Pharmacokinetic parameters estimation using adaptive Bayesian P-splines models

In preclinical and clinical experiments, pharmacokinetic (PK) studies are designed to analyse the evolution of drug concentration in plasma over time i.e. the PK profile. Some PK parameters are estimated in order to summarize the complete drug's kinetic profile: area under the curve (AUC), maximal concentration (C(max)), time at which the maximal concentration occurs (t(max)) and half-life time (t(1/2)).Several methods have been proposed to estimate these PK parameters. A first method relies on interpolating between observed concentrations. The interpolation method is often chosen linear. This method is simple and fast. Another method relies on compartmental modelling. In this case, nonlinear methods are used to estimate parameters of a chosen compartmental model. This method provides generally good results. However, if the data are sparse and noisy, two difficulties can arise with this method. The first one is related to the choice of the suitable compartmental model given the small number of data available in preclinical experiment for instance. Second, nonlinear methods can fail to converge. Much work has been done recently to circumvent these problems (J. Pharmacokinet. Pharmacodyn. 2007; 34:229-249, Stat. Comput., to appear, Biometrical J., to appear, ESAIM P&S 2004; 8:115-131).In this paper, we propose a Bayesian nonparametric model based on P-splines. This method provides good PK parameters estimation, whatever be the number of available observations and the level of noise in the data. Simulations show that the proposed method provides better PK parameters estimations than the interpolation method, both in terms of bias and precision. The Bayesian nonparametric method provides also better AUC and t(1/2) estimations than a correctly specified compartmental model, whereas this last method performs better in t(max) and C(max) estimations.We extend the basic model to a hierarchical one that treats the case where we have concentrations from different subjects. We are then able to get individual PK parameter estimations. Finally, with Bayesian methods, we can get easily some uncertainty measures by obtaining credibility sets for each PK parameter.