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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. Hearing Gender: Voice-Based Gender Classification Processes and Transgender Health Inequality

    This study examines the link between self-rated health and two aspects of gender: an individual’s gender identity, and whether strangers classify that person’s voice as male or female. In a phone-based general health survey, interviewers classified the sex of transgender women (n = 722) and transgender men (n = 446) based on assumptions they made after hearing respondents’ voices.
  4. 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.
  5. 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).
  6. Industry, Firm, Job Title: The Layered Nature of Early-Career Advantage for Graduates of Elite Private Universities

    Using concepts associated with effectively maintained inequality theory and horizontal stratification, the authors ask whether the private-public dividing line is a “threshold of consequence” for early-career market entry. To address this empirically, the authors use a novel LinkedIn data set to analyze job pathways for the graduating class of 2016 from the top 25 private and top 25 public universities in the United States.

  7. Expensive Childcare and Short School Days = Lower Maternal Employment and More Time in Childcare? Evidence from the American Time Use Survey

    This study investigates the relationship between maternal employment and state-to-state differences in childcare cost and mean school day length. Pairing state-level measures with an individual-level sample of prime working-age mothers from the American Time Use Survey (2005–2014; n = 37,993), we assess the multilevel and time-varying effects of childcare costs and school day length on maternal full-time and part-time employment and childcare time.
  8. 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.

  9. Racial/Ethnic Hierarchy and Urban Labor Market Inequality: Four Poignant Historical Cases

    The sociological literature, although rich on the topic of racial/ethnic hierarchy, often overlooks its spatially varying nature relative to group tensions and inequality. In this article, we address this gap by drawing on and analyzing four historically important U.S. urban cases (i.e., Atlanta, Chicago, Los Angeles, and New York City) that reflect both compositional diversity and significant variation in racial/ethnic group sizes. Our analyses, which draw on U.S.

  10. 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.