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  1. Do Sociology Courses Make More Empathetic Students? A Mixed-Methods Study of Empathy Change in Undergraduates

    Assessing course goals is often challenging; assessing an abstract goal, like empathy, can be especially so. For many instructors, empathy is central to sociological thinking. As such, fostering empathy in students is a common course goal. In this article, we report the initial findings of a semester-long assessment of empathy change in undergraduate students (N = 619). We employ a mixed-methods research design that utilizes qualitative instructor data to determine independent instructor-level variables and student surveys to measure student empathy change.
  2. Austerity and Anti-Systemic Protest: Bringing Hardships Back In

    This article explores the relationship between hardships and protest in the world-system. Despite the history of discussion of anti-systemic protest, there has been little work that differentiates world-systems contributions to social movement research from others who examine social movements. We contribute to a theory of anti-systemic protest by re-introducing hardships as a crucial element that defines inequalities in the world-system; one consistent source of those hardships are austerity policies imposed in response to debt negotiations.

  3. Mapping Cultural Schemas: From Theory to Method

    A growing body of research in sociology uses the concept of cultural schemas to explain how culture influences beliefs and actions. However, this work often relies on belief or attitude measures gleaned from survey data as indicators of schemas, failing to measure the cognitive associations that constitute schemas. In this article, we propose a concept-association-based approach for collecting data about individuals’ schematic associations, and a corresponding method for modeling concept network representations of shared cultural schemas.
  4. 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).
  5. 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.
  6. Who Is Called by the Dog Whistle? Experimental Evidence That Racial Resentment and Political Ideology Condition Responses to Racially Encoded Messages

    Do appeals that subtly invoke negative racial stereotypes shift whites’ political attitudes by harnessing their racial prejudice? Though widely cited in academic and popular discourse, prior work finds conflicting evidence for this “dogwhistle hypothesis.” Here we test the hypothesis in two experiments (total N = 1,797) in which white Americans’ racial attitudes were measured two weeks before they read political messages in which references to racial stereotypes were implicit, explicit, or not present at all.

  7. 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).
  8. Teaching Replication to Graduate Students

    Replicating published studies promotes active learning of quantitative research skills. Drawing on experiences from a replication course, we provide practical tips and reflections for teachers who consider incorporating replication in their courses. We discuss teaching practices and challenges we encountered at three stages of a replication course: student recruitment, course structure and proceedings, and learning outcomes. We highlight that by engaging in replication, students learn from established scholarly work in a collaborative and reflective manner.
  9. The Sociological Canon, Relations between Theories and Methods, and a Latent Political Structure: Findings from a Survey of Sociology Students in Germany and Consequences for Teaching

    We discuss findings from a survey of sociology students in Germany and consequences for teaching. We focus on the de facto formation of a sociological canon, the relation between theories and methods, and effects of social and political characteristics on student’s scientific preferences. Our findings suggest that irrespective of an agreement of the sociological professionals on a common definition of a core, a de facto canon of theories and methods exists in teaching practices. Moreover, specific relations between sociological theories and methods occur in the data.
  10. Making It Count: Using Real-World Projects for Course Assignments

    Previous scholarship has demonstrated the value of high-impact practices of community engagement, inquiry-based pedagogy, and collaborative learning for engagement and learning in sociology courses, especially undergraduate research methods and statistics. This article explores the changes made to an upper-division undergraduate course focused on applied research practices and community-level interventions.