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  1. 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).
  2. 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.
  3. The Coming Divorce Decline

    This article analyzes U.S. divorce trends over the past decade and considers their implications for future divorce rates. Modeling women’s odds of divorce from 2008 to 2017 using marital events data from the American Community Survey, I find falling divorce rates with or without adjustment for demographic covariates. Age-specific divorce rates show that the trend is driven by younger women, which is consistent with longer term trends showing uniquely high divorce rates among people born in the Baby Boom period.
  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. 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.

  6. 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.
  7. 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.

  8. Collective Social Identity: Synthesizing Identity Theory and Social Identity Theory Using Digital Data

    Identity theory (IT) and social identity theory (SIT) are eminent research programs from sociology and psychology, respectively. We test collective identity as a point of convergence between the two programs. Collective identity is a subtheory of SIT that pertains to activist identification. Collective identity maps closely onto identity theory’s group/social identity, which refers to identification with socially situated identity categories. We propose conceptualizing collective identity as a type of group/social identity, integrating activist collectives into the identity theory model.
  9. Racial and Other Sociodemographic Disparities in Terrorism Sting Operations

    Previous research suggests a high prevalence of entrapment in post-9/11 terrorism sting operations, but it is unknown whether entrapment abuses are disproportionately targeted at specific racial/ethnic, religious, or socioeconomic groups. Drawing on Black’s theory of law, symbolic threat theory, and research on stereotypes, cognitive biases, and institutional incentives, the authors hypothesize that government agents and informants will use problematic tactics disproportionately against certain marginalized groups.

  10. Trouble in Tech Paradise

    The structures of the tech industry, with its dependence on highly skilled immigrant workers, and the H-1B visa, with its dependence on sponsoring companies, bind tech workers in a cycle of legal violence.