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  1. Americans Support Local Food Markets to Feel Part of Something Bigger Than Themselves

    More Americans than ever before are supporting their local food markets, and it's not just because they believe the food is fresher and tastes better.

  2. Consumers Increasingly Face Companies’ Creative Smoke and Mirrors, Study Finds

    Heavily marketed as a safer, healthful alternative to smoking, electronic cigarettes are under fire from California health officials who have declared "vaping" a public health threat, hoping to head off the type of deceptive manipulation that tobacco companies succeeded with for decades, according to researchers. 

  3. Elements of Professional Expertise: Understanding Relational and Substantive Expertise through Lawyers' Impact

    Lawyers keep the gates of public justice institutions, particularly through their roles in formal procedures like hearings and trials. Yet, it is not clear what lawyers do in such quintessentially legal settings: conclusions from past research are bedeviled by a lack of clear theory and inconsistencies in research design. Conceptualizing litigation work in terms of professional expertise, I conduct a theoretically grounded synthesis of the findings of extant studies of lawyers’ impact on civil case outcomes.

  4. Consuming Mexican Labor: From the Bracero Program to NAFTA

    That, historically, capital accumulation has required a supply of cheap, flexible labor is one of the most well-documented and widely accepted empirical findings in social science.

  5. Review Essays: Sociology’s Messy Eating: Food, Consumer Choice, and Social Change

    In 2002, the historian Warren Belasco remarked that while “food is important . . . food scholars may still evoke a sense of surprise” (Belasco 2002, pp. 2, 5). The sociological importance of food should be obvious: one need not be a Marxist to recognize that food production forms an essential infrastructure for other sorts of social activities, nor a Weberian to perceive the role of eating in status and social closure. And yet, at the time of Belasco’s writing, identifying one’s primary research area as “food” to colleagues at an ASA meeting could evoke a cocked eyebrow and an awkward pause.
  6. The Emergence of Statistical Objectivity: Changing Ideas of Epistemic Vice and Virtue in Science

    The meaning of objectivity in any specific setting reflects historically situated understandings of both science and self. Recently, various scientific fields have confronted growing mistrust about the replicability of findings, and statistical techniques have been deployed to articulate a “crisis of false positives.” In response, epistemic activists have invoked a decidedly economic understanding of scientists’ selves. This has prompted a scientific social movement of proposed reforms, including regulating disclosure of “backstage” research details and enhancing incentives for replication.
  7. The Role of Social Media in Collective Processes of Place Making: A Study of Two Neighborhood Blogs in Amsterdam

    The wide use of social media has facilitated new social practices that influence place meaning. This paper uses a double case study of two neighborhood blogs in gentrifying communities, to explore the role of social media in sharing place associations and community formation. Drawing on Collins’ theory of interaction ritual chains, this research project investigates how the intertwining of online and offline interaction around the blogs creates interaction chains whereby the place associations of participants in the blog become more aligned, creating an alternative place narrative.

  8. Estimating Income Statistics from Grouped Data: Mean-constrained Integration over Brackets

    Researchers studying income inequality, economic segregation, and other subjects must often rely on grouped data—that is, data in which thousands or millions of observations have been reduced to counts of units by specified income brackets.
  9. Comment: The Inferential Information Criterion from a Bayesian Point of View

    As Michael Schultz notes in his very interesting paper (this volume, pp. 52–87), standard model selection criteria, such as the Akaike information criterion (AIC; Akaike 1974), the Bayesian information criterion (BIC; Schwarz 1978), and the minimum description length principle (MDL; Rissanen 1978), are purely empirical criteria in the sense that the score a model receives does not depend on how well the model coheres with background theory. This is unsatisfying because we would like our models to be theoretically plausible, not just empirically successful.
  10. The Problem of Underdetermination in Model Selection

    Conventional model selection evaluates models on their ability to represent data accurately, ignoring their dependence on theoretical and methodological assumptions. Drawing on the concept of underdetermination from the philosophy of science, the author argues that uncritical use of methodological assumptions can pose a problem for effective inference. By ignoring the plausibility of assumptions, existing techniques select models that are poor representations of theory and are thus suboptimal for inference.