Managing Portfolio Lives: Flexibility and Privilege Amongst Upscale Restaurant Workers in Los Angeles

The unstable, even precarious labor conditions of many frontline service jobs in the United States should render them undesirable to upwardly mobile young workers. Yet for many, these types of jobs complement, rather than infringe upon, their broader lifestyles. Drawing on six years of ethnographic research in upscale Los Angeles restaurants, I show how front-of-the-house service workers navigate portfolio lives—sustained though shifting arrangements of labor and leisure that blur the boundaries between the two. I describe how these workers, who are mostly young, white, and college educated, leverage both personal resources and workplace structures to weave their restaurant jobs into their larger webs of activities. I close by discussing how the concept of portfolio lives extends theories of boundaryless work careers to the urban service economy, though these dynamic assemblages remain subject to class and race inequalities.

     

The exponential distribution analog of the Grubbs–Weaver method

Abstract

Grubbs and Weaver (1947 Grubbs, F. E., and C. L. Weaver. 1947. The best unbiased estimate of population standard deviation based on group ranges. Journal of the American Statistical Association 42 (238):224–41. doi: 10.2307/2280652.[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]) suggest a minimum-variance unbiased estimator for the population standard deviation of a normal random variable, where a random sample is drawn and a weighted sum of the ranges of subsamples is calculated. The optimal choice involves using as many subsamples of size eight as possible. They verified their results numerically for samples of size up to 100, and conjectured that their “rule of eights” is valid for all sample sizes. Here we examine the analogous problem where the underlying distribution is exponential and find that a “rule of fours” yields optimality and prove the result rigorously.     

Simultaneous model-based clustering and visualization in the Fisher discriminative subspace

Clustering in high-dimensional spaces is nowadays a recurrent problem in many scientific domains but remains a difficult task from both the clustering accuracy and the result understanding points of view. This paper presents a discriminative latent mixture (DLM) model which fits the data in a latent orthonormal discriminative subspace with an intrinsic dimension lower than the dimension of the original space. By constraining model parameters within and between groups, a family of 12 parsimonious DLM models is exhibited which allows to fit onto various situations. An estimation algorithm, called the Fisher-EM algorithm, is also proposed for estimating both the mixture parameters and the discriminative subspace. Experiments on simulated and real datasets highlight the good performance of the proposed approach as compared to existing clustering methods while providing a useful representation of the clustered data. The method is as well applied to the clustering of mass spectrometry data.     

Quand la formation ne suffit pas : la préparation des étudiants à l’emploi en Angleterre,en France et en Suède

The proliferation of internships and the rise of professionalisation in higher education are, in France, frequently condemned as evidence of a quest for greater employability, driven by a skills-based approach. A comparative analysis of the methods used to prepare students for employment shows the degree to which the social mechanisms are homogeneous in England (employability) and in Sweden (bildning). In France, the transition from higher education to employment entails a process of pre-professionalisation. This is characterised by the dominant role of professional skills and their incorporation into the structure of initial education itself. Rather than the outcome of a process of commodification, this mechanism of pre-professionalisation is explained by the persistence of an idealized conception of “matching” that still profoundly marks the relations between education and employment in France.     

Nationwide Newspaper Coverage of Same-Sex Marriage: A Community Structure Approach

Using the community structure approach to compare coverage of same-sex marriage in leading U.S. newspapers in 35 major cities nationwide, all articles of 250+ words were sampled from a 5-year span of January 1, 2007, to June 23, 2011, for a total of 577 articles. Articles were coded for “prominence” and “direction,” and then combined into a “Media Vector” score for each newspaper, ranging from .4523 to ?.1067. Initial Pearson correlations revealed three clusters had significant relationships: stakeholder (stakeholder proportions correlating with favorable coverage of stakeholder concerns), buffer (privilege correlating with favorable coverage of human rights issues), and vulnerability (vulnerable populations correlating with coverage favoring their perspectives). The stakeholder cluster includes: (percentage 25–44: r = .506, p = .001; gay market index: r = .432, p = .005; percentage 65+: r = ?.397, p = .009; percentage voting Democratic: r = .335, p = .025; percentage voting Republican: r = ?.330, p = .026). The buffer hypothesis was also confirmed (percentage college educated: r = .465, p = .002; percentage family income of $100,000+: r = .383, p = .012; and percentage professional/technical occupations: r = .300, p = .040). One vulnerability indicator, percentage below the poverty line, was also confirmed (r = ?.297, p = .041). A varimax rotated factor analysis and regression yielded 2 factors accounting for more than 29% of the variance: privilege/gay marketing/political identity, 24%, and Evangelicals, 5%.