Changing Workplaces to Reduce Work-Family Conflict: Schedule Control in a White-Collar Organization

Work-family conflicts are common and consequential for employees, their families, and work organizations. Can workplaces be changed to reduce work-family conflict? Previous research has not been able to assess whether workplace policies or initiatives succeed in reducing work-family conflict or increasing work-family fit. Using longitudinal data collected from 608 employees of a white-collar organization before and after a workplace initiative was implemented, we investigate whether the initiative affects work-family conflict and fit, whether schedule control mediates these effects, and whether work demands, including long hours, moderate the initiative's effects on work-family outcomes. Analyses clearly demonstrate that the workplace initiative positively affects the work-family interface, primarily by increasing employees' schedule control. This study points to the importance of schedule control for our understanding of job quality and for management policies and practices.     

Racialization in a ‘homogenous’ society? The case of Buraku people in Japan

This paper examines the puzzling status of Buraku people in Japan through the methodological prism of historical sociology. I develop a theoretical approach that emphasizes the concept of racialization to illuminate the historical and social construction of Buraku status. I propose this approach as a complementary alternative to prior analytic perspectives. Two major perspectives have dominated research on the status of Buraku people. First, an earlier approach that focused on the legacy of caste discrimination. The second framework focuses on Buraku people as part of the struggle for universal human rights. This article raises three basic, but interrelated questions about the historical development of Buraku status in Japan. Why did the Buraku people become subject to such overt discrimination in local community life, and through government policy? How was the state involved in the social construction of Buraku people? How did the Buraku liberation struggles challenge formalized discrimination?     

The FastHCS algorithm for robust PCA

Principal component analysis (PCA) is widely used to analyze high-dimensional data, but it is very sensitive to outliers. Robust PCA methods seek fits that are unaffected by the outliers and can therefore be trusted to reveal them. FastHCS (high-dimensional congruent subsets) is a robust PCA algorithm suitable for high-dimensional applications, including cases where the number of variables exceeds the number of observations. After detailing the FastHCS algorithm, we carry out an extensive simulation study and three real data applications, the results of which show that FastHCS is systematically more robust to outliers than state-of-the-art methods.     

Nonparametric Regression with Sample Design Following a Random Process

Nonparametric regression is considered where the sample point placement is not fixed and equispaced, but generated by a random process with rate n. Conditions are found for the random processes that result in optimal rates of convergence for nonparametric regression when using a block thresholded wavelet estimator. Previous results on nonparametric regression via wavelets on both fixed and random sample point placement are shown to be special cases of the general result given here. The estimator is adaptive over a large range of Hölder function spaces and the convergence rate exhibited is an improvement over term-by-term wavelet estimators. Threshold selection is implemented in a data-adaptive fashion, rather than using a fixed threshold as is usually done in block thresholding. This estimator, BlockSure, is compared against fixed-threshold block estimators and the more traditional term-by-term threshold wavelet estimators on several random design schemes via simulations.     

Immigration,Ethnicity, and Conflict: The California Chinese, 1849–1882*

Drawing on Bonacich's split market theory, the work of Hechter and Blalock on ethnic conflict, and the literature on social movements, the authors develop a model of factors producing conflict between native and immigrant workers. The model identifies the relative size of the immigrant group, the growth of the immigrant population, the desirability of jobs held by immigrant workers, economic conditions, the development of racist ideology among native workers, and the organization of native workers as factors possibly explaining the frequency of incidents of overt ethnic conflict and efforts to institutionalize discrimination through government action. The model is assessed by examining the situation of Chinese immigrants in California between 1849 and 1882. The data suggest that poor economic conditions, a well-developed racist ideology, and well-organized native workers best explain incidents of ethnic conflict and successful efforts to obtain discriminatory government action.     

SYMBOLIC POLITICS IN THE INFORMATION AGE: THE 1996 REPUBLICAN PRESIDENTIAL CAMPAIGNS IN CYBERSPACE

This paper traces the use of the World Wide Web as a medium of political communication during the 1996 American presidential campaigns. Beginning with the Republican campaigns' use of the medium during the primary election season, a typology of uses of the web is outlined. While all campaigns felt it necessary to participate in the World Wide Web, different candidates used the medium differently. Furthermore, no campaign made full use of the much-publicized interactive capacity of the web; they used it more as a new means of transmitting traditional mass-media literature (video, graphics, etc.) and as a way of providing access to large volumes of campaign information (voting records, speeches, position papers, etc.).     

Racial capitalism and STEM education in Chicago Public Schools

ABSTRACT

This article analyzes the role of STEM initiatives designed by city and corporate elites in a large urban district and outlines an alternative, grassroots vision for (STEM) education and city schools. Within a neoliberal context of gentrification, displacement, disinvestment, and privatization, STEM schools have become strategic components of Chicago’s ‘portfolio district’ that serve the interests of racial capitalism in three ways. First, STEM schools provide a claim to fairness in the midst of racist school closures. Second, STEM high schools are a corporate strategy for racially stratified labor force preparation that restricts curriculum and reifies tracking. Third, curriculum restriction prioritizes corporate interests over students’ capacity to shape their communities and the world. The authors draw on the wisdom of Chicago communities who have led resistance against corporate education reform to critique Chicago STEM policy and point to critical mathematics and science education as part of a model for sustainable community schools.