Review Essay: What Is Left of the Left?

Sociological Forum -     

Towards a Cultural Analysis of the Modern Family: Beyond the Revisionist Paradigm in Japanese Family Studies

Under the influence of the "new history of the family" of the past few decades, a revisionist view of the "modern family" has emerged among family theorists in Japan. In spite of the significant merits of this new paradigm, I have argued that the failure of its proponents to address certain theoretical and presuppositional issues has discouraged a cultural analysis of the modern family. In recent years, one of the foremost theorists to attempt to bring cultural analysis fully into sociological discourse has been Jeffrey Alexander. I have drawn extensively on Alexander's discussion of Durkheim's later thought as the key to a cultural program in the field of sociology. In doing so, I have suggested that one effect of the transition to modern society is the sacralization of what Durkheim termed the "domestic order". Furthermore, in considering the mechanism by which the central emotional axis of the family comes to revolve around either the parent–child bond or the conjugal bond, I have postulated the existence of a "sacred" dyad—in the Durkheimian sense—within the family unit.     

Book Review: Social Capital and Participation in Everyday Life,by Paul Dekker and Eric M. Uslaner (eds.). Routledge,London, 2001

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations -     

A Comparison of Partially Adaptive and Reweighted Least Squares Estimation

The small sample performance of least median of squares, reweighted least squares, least squares, least absolute deviations, and three partially adaptive estimators are compared using Monte Carlo simulations. Two data problems are addressed in the paper: (1) data generated from non-normal error distributions and (2) contaminated data. Breakdown plots are used to investigate the sensitivity of partially adaptive estimators to data contamination relative to RLS. One partially adaptive estimator performs especially well when the errors are skewed, while another partially adaptive estimator and RLS perform particularly well when the errors are extremely leptokur-totic. In comparison with RLS, partially adaptive estimators are only moderately effective in resisting data contamination; however, they outperform least squares and least absolute deviation estimators.     

Membranes, mitochondria and amoebae: shape models

Most real-world shapes and images are characterized by high variability- they are not rigid, like crystals, for example—but they are strongly structured. Therefore, a fundamental task in the understanding and analysis of such image ensembles is the construction of models that incorporate both variability and structure in a mathematically precise way. The global shape models introduced in Grenander's general pattern theory are intended to do this. In this paper, we describe the representation of two-dimensional mitochondria and membranes in electron microscope photographs, and three-dimensional amoebae in optical sectioning microscopy. There are three kinds of variability to all of these patterns, which these representations accommodate. The first is the variability in shape and viewing orientation. For this, the typical structure is represented via linear, circular and spherical templates, with the variability accomodated via the application of transformations applied to the templates. The transformations form groups: scale, rotation and translation. They are locally applied throughout the continuum and of high dimension. The second is the textural variability; the inside and outside of these basic shapes are subject to random variation, as well as sensor noise. For this, statistical sensor models and Markov random field texture models are used to connect the constituent structures of the shapes to the measured data. The third variability type is associated with the fact that each scene is made up of a variable number of shapes; this number is not assumed to be known a priori. Each scene has a variable number of parameters encoding the transformations of the templates appropriate for that scene. For this, a single posterior distribution is defined over the countable union of spaces representing models of varying numbers of shapes. Bayesian inference is performed via computation of the conditional expectation of the parametrically defined shapes under the posterior. These conditional mean estimates are generated using jump-diffusion processes. Results for membranes, mitochondria and amoebae are shown.     

The Influence of the Socio-economic Characteristics of Disabled People on Their Employment Status and Income

Most of the studies of the employment and income levels of disabled people focus on a specific disability or on severely disabled persons. A few studies are cross disability ones, but they fail to go beyond simple associations or else have extremely small sample sizes. There is a need for studies which are cross disability and which have an adequate sample size in order to determine if there are structural variables in society—like a class system-which operate upon the employment opportunities of disabled persons. Using a sample (n = 733) of the Disability Community in Massachusetts, socio-economic variables related to employment and income are studied. Statistically significant relationships are found. Several models are developed and the implications for social theory are discussed.