DUST:

Following the perspective of "sociological miniaturism," proposed by Stolte, Fine, and Cook (2001), we examine the significance of dust in social life in order to examine the reverberations of the micro-features of everyday life on social structure. Through the examination of the routine, the unexamined, and the commonplace, we hope to gain some insight on how the taken-for-granted aspects of lived experience fit into the larger social order. Dust, by virtue of its "smallness," provides a window through which we can explore social structural issues using microsociological analysis. Specifically we examine how dust and techniques for its control are linked to issues of gender, work, political economy and nation.     

Social and Political Dimensions of Privacy

This article provides a framework for analyzing privacy in modern societies, defining information privacy and describing three levels that structure the values assigned to privacy. After describing a contemporary privacy baseline (1945–1960), these concepts are applied to social and political privacy developments in three contemporary eras of steadily growing privacy concerns and societal responses across citizen-government, employee-employer, and consumer-business relationships in 1961–1979, 1980–1989, and 1990–2002. Each period is described in terms of new technology applications, changing social climates, and organizational and legal developments. Effects of the 9/11 terrorist attacks on privacy balances are analyzed and predictions for future privacy developments are presented. The relationship of articles in this issue to the author's framework is noted throughout.     

A bounded influence regression estimator based on the statistics of the hat matrix

Summary. Many geophysical regression problems require the analysis of large (more than 10⁴ values) data sets, and, because the data may represent mixtures of concurrent natural processes with widely varying statistical properties, contamination of both response and predictor variables is common. Existing bounded influence or high breakdown point estimators frequently lack the ability to eliminate extremely influential data and/or the computational efficiency to handle large data sets. A new bounded influence estimator is proposed that combines high asymptotic efficiency for normal data, high breakdown point behaviour with contaminated data and computational simplicity for large data sets. The algorithm combines a standard M -estimator to downweight data corresponding to extreme regression residuals and removal of overly influential predictor values (leverage points) on the basis of the statistics of the hat matrix diagonal elements. For this, the exact distribution of the hat matrix diagonal elements p _ii for complex multivariate Gaussian predictor data is shown to be β ( p _ii ,  m ,  N − m ), where N is the number of data and m is the number of parameters. Real geophysical data from an auroral zone magnetotelluric study which exhibit severe outlier and leverage point contamination are used to illustrate the estimator's performance. The examples also demonstrate the utility of looking at both the residual and the hat matrix distributions through quantile–quantile plots to diagnose robust regression problems.     

Predictors of outcome for unrelated adoptive placements made during middle childhood

This paper reports on a follow‐up to adolescence of two longitudinal prospective studies of children placed from public care with non‐related adoptive families in the UK. Factors associated with outcome are presented for 99 children (one index child per adoptive family) who were between 5 and 11 years of age at placement. Information concerning the children's backgrounds and care histories was obtained shortly after placement (T1), from social workers. Adopters were interviewed at T1 and again at the end of the first year (T2). A further follow‐up was conducted an average of six years after placement (T3). Outcomes at T3 were classified as either disrupted, which was true for 23%, continuing and ‘positive’ (49%) or continuing but ‘difficult’ (28%). Bivariate analyses revealed a number of attributes, related to both the child and the adoptive parents, which were associated with differential outcomes. Logistic regression produced five predictors of placement disruption: age at placement, behavioural problems, preferential rejection, time in care and the child's degree of attachment to the new mother. Differences were found between ‘positive’ and ‘difficult’ outcomes in continuing placements as well as between continuing and disrupted placements. The analysis suggests that adoption should certainly be considered as an option for children over 5 years of age while recognizing the need for both preparation and post‐placement support. Evidence of differential outcome in continuing placements provides support for efforts to reduce the number of placements and returns home that a child at risk experiences.     

Can willingness to pay capture the value of altruism? An exploration of Sen’s notion of commitment

Amartya Sen’s distinction between sympathy and commitment is used to examine the assertion that willingness to pay (WTP) can capture the value of altruism in health care. Willingness to pay values for a vaccination program stated to benefit only one’s self in the first instance and only other people in the second instance were elicited from a small convenience sample. Qualitative methods were then used to explore the meaning of the responses. Commitment was found to be a motivating factor and drove a wedge between willingness to pay and valuation of the program. The consequences of this for health economic research are discussed.     

ECONOMIC ROULETTE

Complementing previous literature on welfare reform and the character of jobs in the low-wage labour market, we illustrate the lack of regularity and security that mark the jobs held by many low-income mothers. To do so, we present a typology of mothers’ work patterns and illustrate their experiences through case examples. Our qualitative analysis of longitudinal pathways-to-work in three cities involved an examination of the experiences of 99 diverse, low-income working mothers with a young child. The work patterns that emerged from this analysis include: continuous duration of a single job; multiple job spells; underemployment; and churning in and out of employment. Findings indicate that a complicated ‘coming together’ of well-paying stable jobs, consistent aid from public systems and stable family networks are necessary for mothers to take even the first steps into stable employment.     

Cripping sexualities: An analytic review of theoretical and empirical writing on the intersection of disabilities and sexualities

This paper provides a review of some of the literature addressing the juncture of disabilities and sexualities and invites sociologists to build on this work and take part in this important intersectional field. First, I discuss the central relevance of an intersectional lens for making sense of the unique experiences of queer people with disabilities who are located at the crossroads of various stratified systems. Then, I discuss some of the many unique challenges that queer disabled people face when exploring their sexuality, establishing relationships, and remaining sexual. The invisibility, marginalization, and discrimination of queer people with disabilities in both queer and disability communities are the focus on the third section. The fourth section speaks to current theoretical dialogues between disability studies and queer theory that have illuminated new pathways for theorizing the intersection of disabilities and sexualities, “cripping” sociological theories, and reimagining disability within sociology. As I demonstrate, this literature is growing; however, myriad exciting opportunities for empirical and theoretical sociological exploration remain and I will conclude with a discussion of possible directions for future research.