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  1. Creating Urban Sociality in Middle‐Class Neighborhoods in Milan and Bologna: A Study on the Social Streets Phenomenon

    Social Streets are groups of neighbors who want to recreate convivial ties having noticed a weakening of social relationships in their roads of residence. Social Streets start as online Facebook groups to materialize in offline encounters, using conviviality to create virtuous bonds. These are carried out through practices of sociality, inclusive and for free. The main focus of this article is analyzing sociodemographic data of the “Streeters” and of the neighborhoods to understand where they produce conviviality in urban neighborhoods.

  2. 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).
  3. Equifinality and Pathways to Environmental Concern: A Fuzzy-Set Analysis

    Studying how people understand and develop concern for environmental problems is a key area of research within environmental sociology. Previous research shows that numerous social factors have measurable effects on environmental concern. However, results tend to be somewhat inconsistent across studies on this topic. One possible explanation for this is because these social factors are typically examined as independent from one another. However, these factors are interrelated in complex ways, as shown by research on the moderating effects of race and political ideology on education.
  4. 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).
  5. Does Intra-household Contagion Cause an Increase in Prescription Opioid Use?

    Opioid use claims many thousands of lives each year. This article considers the diffusion of prescription opioid (PO) use within family households as one potential culprit of the proliferation of these medications. In an analysis of hundreds of millions of medical claims and almost 14 million opioid prescriptions in one state between 2010 and 2015, we show that the use of POs spreads within family households.

  6. Beyond Tracking and Detracking: The Dimensions of Organizational Differentiation in Schools

    Schools use an array of strategies to match curricula and instruction to students’ heterogeneous skills. Although generations of scholars have debated ‘‘tracking’’ and its consequences, the literature fails to account for diversity of school-level sorting practices.

  7. Data Collection as Disruption: Insights from a Longitudinal Study of Young Adulthood

    Research disrupts the social world, often by making respondents aware that they are being observed or by instigating reflection upon particular aspects of life via the very act of asking questions. Building on insights from the first Hawthorne studies, reflexive ethnographers, and methodologists concerned with panel conditioning, we draw on six years of research within a community in southern Malawi to introduce a conceptual framework for theorizing disruption in observational research.

  8. Exploring Classroom Climate in Sociology Courses Using Syllabi

    The classroom climate shapes students’ learning and instructors’ teaching experience in profound ways. This study analyzes classroom climate statements in syllabi from various sociology courses to understand the extent that sociology instructors highlight climate issues and how climate is conceptualized in their syllabi. Drawing from data from two different times periods (pre-2005 and post-2010), the current study examines the frequency of classroom climate statements, the factors that may contribute to the presence of a statement, and themes within these statements.

  9. “I Understand What They’re Going through”: How Socioeconomic Background Shapes the Student Service-learning Experience

    Traditional service-learning pedagogy assumes that learning occurs when contact between relatively advantaged students and a relatively disadvantaged service population reduces prejudice. However, little is known about how students whose backgrounds are similar to the populations they serve process this learning experience. This study explores the connections between socioeconomic status and learning trajectories within service-learning. Students provided written reflections on a service-learning experience focused on food insecurity as part of course requirements.

  10. Cabdrivers and Their Fares: Temporal Structures of a Linking Ecology

    The author argues that behind the apparent randomness of interactions between cabdrivers and their fares in Warsaw is a temporal structure. To capture this temporal structure, the author introduces the notion of a linking ecology. He argues that the Warsaw taxi market is a linking ecology, which is structured by religious time, state time, and family time. The author then focuses on waiting time, arguing that it too structures the interactions between cabdrivers and their fares.