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  1. Familism and the Hispanic Health Advantage: The Role of Immigrant Status

    It is well known that Hispanic immigrants exhibit better physical and mental health than their U.S.-born counterparts. Scholars theorize that stronger orientations toward the family, also known as familism, could contribute to this immigrant advantage. Yet, little work directly tests whether familial attitudes may be responsible for the favorable health of foreign-born Hispanics. We investigate this possibility using biomarkers, anthropometrics, and mental health assessments from the Hispanic Community Health Study/Study of Latinos (N = 4,078).
  2. Work–Family Conflict and Well-Being among German Couples: A Longitudinal and Dyadic Approach

    This study examines dual-earner couples to determine whether changes in work–family conflict predict changes in one’s own (i.e., actor effects) or partner’s (i.e., partner effects) health and well-being as well as gender differences in these relationships.
  3. Preventing Violence: Insights from Micro-Sociology

    Micro-sociology of violence looks at what happens in situations where people directly threaten violence, but only sometimes carry it out. This process and its turning points have become easier to see in the current era of visual data: cell-phone videos, long-distance telephoto lenses, CCTV cameras. New cues and instruments are on the horizon as we look at emotional signals, body rhythms, and monitors for body signs such as heart rate (a proxy for adrenaline level).
  4. Sugar, Slavery, and Creative Destruction: World-Magnates and “Coreification” in the Longue-Durée

    Recent literature in the world-systems perspective has refocused attention on questions of ‘core’ and ‘periphery’ in historical capitalism, yet rarely critically examines the underlying assumptions regarding these zones. Drawing on a developing dataset on the world’s wealthiest individuals (the World-Magnates Database), we trace the development and expansion of sugar circuits across the Atlantic world from the sixteenth through the eighteenth centuries to explain how the sugar commodity chain leads us to rethink some prevailing notions of core and periphery.
  5. What’s Alter Got to Do with It? A Consideration of Network Content and the Social Ties That Provide It

    The strength of weak ties is among the most important theories in the social sciences. One paradoxical element of the theory has been widely understood and valued—that weak ties connect disparate regions of social structure. Less appreciated, however, is the arguably more paradoxical implication that someone only weakly connected to another would provide value beyond that which is provided by the recipient’s (ego’s) strong ties. Once this paradoxical feature of the theory and associated empirical literatures is acknowledged, the interests of the resource provider (alter) demand consideration.
  6. Algorithmic Control in Platform Food Delivery Work

    Building on an emerging literature concerning algorithmic management, this article analyzes the processes by which food delivery platforms control workers and uncovers variation in the extent to which such platforms constrain the freedoms—over schedules and activities—associated with gig work.
  7. Do Readers Judge Books by Author Gender? Results from a Randomized Experiment

    We run a randomized experiment to examine gender discrimination in book purchasing with 2,544 subjects on Amazon’s Mechanical Turk. We manipulate author gender and book genre in a factorial design to study consumer preferences for male versus female versus androgynous authorship. Despite previous findings in the literature showing gender discrimination in book publishing and in evaluations of work, respondents expressed no gender preference across a variety of measures, including quality, interest, and the amount they were willing to pay to purchase the book.

  8. CASM: A Deep-Learning Approach for Identifying Collective Action Events with Text and Image Data from Social Media

    Protest event analysis is an important method for the study of collective action and social movements and typically draws on traditional media reports as the data source. We introduce collective action from social media (CASM)—a system that uses convolutional neural networks on image data and recurrent neural networks with long short-term memory on text data in a two-stage classifier to identify social media posts about offline collective action. We implement CASM on Chinese social media data and identify more than 100,000 collective action events from 2010 to 2017 (CASM-China).
  9. Why Are Women Penalized in Product Markets?

    Previous research using data from eBay found that women receive lower prices than men when selling the exact same products. The current project explores why this gender gap obtains and why some products have larger gender price gaps than others. To answer these questions, we exploit the variation in the gender price gap across products found in the earlier eBay data together with new survey data on the perceptions people have about seemingly male-typed and female-typed products and about people’s uncertainty about the prices of products.

  10. The Temporal Logic of Deservingness: Inequality Beliefs in Two Postsocialist Societies

    Employing a cultural sociological approach, this article asks how individuals from two postsocialist societies articulate principles of justice by providing narrative accounts of other peoples’ perceived choices and social mobility trajectories after 1989.