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  1. Review Essay: What Should Historical Sociologists Do All Day? Starving the Beast, the Reagan Tax Cuts, and Modes of Historical Explanation

    Monica Prasad, along with collaborators like Isaac Martin and Ajay Mehrotra (e.g., Martin, Mehrotra, and Prasad 2009), has made fiscal sociology—the sociology of taxation—a thriving part of the discipline. Her first book showed how different national patterns of taxation help explain the variable strength of neoliberalism across nations (Prasad 2006). Her second identified progressive taxation as key to producing both democratized credit and a weak welfare state in the United States (Prasad 2012).
  2. Review Essay: The Digital Surveillance Society

    When hundreds of thousands of protesters filled the streets of Hong Kong this summer, central figures reportedly took no selfies, avoided Facebook and Twitter, installed prepaid SIM cards, stuck to secure messaging apps, and used cash instead of rechargeable subway cards or other cashless payments. It is not clear whether this will help them avoid “conspiracy to commit public nuisance” charges, which led to prison sentences for leaders of the 2014 Umbrella movement (including sociologist Kin-man Chan).
  3. “Change Agents” on Two Wheels: Claiming Community and Contesting Spatial Inequalities through Cycling in Los Angeles

    This study uses participant observation to examine how an all‐female collective in Los Angeles uses urban cycling culture as a way to contest inequalities and advocate for social change in communities of color. Bridging the literatures on gentrification and social movements, I examine how the collective uses the bicycle as a unifying tool to draw disparate individuals together and, through the group's practices and rituals, generates a shared sense of collective identity and politicized consciousness embedded within the uneven spatial development of Los Angeles.

  4. Status Aversion, Attraction and Discrepancy as Drivers of Neighborhood Selection

    Neighborhood income segregation is a widespread phenomenon. We explore its origins by modeling neighborhood selection by native Norwegian households making inter‐neighborhood moves, distinguishing influences of shares of three income groups and the discrepancy between the individual household's income and neighborhood median. We conduct a conditional logit analysis employing 2013–2014 population register data from the Oslo, Norway, metropolitan area.

  5. “Progress and Perfectability”: Urban Policy, Model Cities, and Community Control in the Shadow of Newark

    Positioning itself against arguments that claim that the Model Cities program (initially known as the 1966 Demonstration Cities and Metropolitan Development Act) was either an unmitigated failure, an attempt to co‐opt activists, or an effort to introduce the “carceral state” nationwide, this paper examines the implementation of Model Cities in a historically integrated suburb and argues that while the program was assuredly only a “limited success,” it did provide both funding and social space in which residents could forge intergenerational and cross‐racial alliances, as well as launch chal

  6. From Waste to Resources? Interrogating ‘Race to the Bottom’ in the Global Environmental Governance of the Hazardous Waste Trade

    The rise of global environmental governance regimes allegedly contradicts the process of an environmental “race to the bottom” (RTB) that results from capitalist globalization. We examine new developments in this area through a qualitative case study of the Basel Convention. Here, we find that new regulations in toxic wastes governance are in fact being co-created with industry actors and aim to accelerate the flow of toxic “resources” to less-developed countries.

  7. 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.
  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. 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.

  10. 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.