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  1. Faith in Trump, Moral Foundations, and Social Distancing Defiance during the Coronavirus Pandemic

    Over the past several months, the coronavirus has infected more than six million Americans and killed nearly 200,000. Governors have issued stay-at-home orders, and prosecutors have filed criminal charges against individuals for defying those orders. And yet many Americans have still refused to keep their distance from their fellow citizens, even if they had symptoms of infection. The authors explore the underlying causes for those who intend to defy these norms.

  2. Who Doesn’t Trust Fauci? The Public’s Belief in the Expertise and Shared Values of Scientists in the COVID-19 Pandemic

    The primary tension in public discourse about the U.S. government’s response to the coronavirus pandemic has been President Trump’s disagreement with scientists. The authors analyze a national survey of 1,593 Americans to examine which social groups agree with scientists’ ability to understand the novel coronavirus (COVID-19) and which agree that COVID-19 scientists share their values. Republicans and independents are less trusting than Democrats on both measures, as are African Americans.

  3. A Numbers Game: Quantification of Work, Auto-Gamification, and Worker Productivity

    Technological advances and the big-data revolution have facilitated fine-grained, high-frequency, low-cost measurement of individuals’ work. Yet we understand little about the influences of such quantification of work on workers’ behavior and performance. This article investigates how and when quantification of work affects worker productivity. We argue that quantification affects worker productivity via auto-gamification, or workers’ inadvertent transformation of work into an independent, individual-level game.

  4. Pluralistic Collapse: The “Oil Spill” Model of Mass Opinion Polarization

    Despite widespread feeling that public opinion in the United States has become dramatically polarized along political lines, empirical support for such a pattern is surprisingly elusive. Reporting little evidence of mass polarization, previous studies assume polarization is evidenced via the amplification of existing political alignments. This article considers a different pathway: polarization occurring via social, cultural, and political alignments coming to encompass an increasingly diverse array of opinions and attitudes.

  5. Out of the Urban Shadows: Uneven Development and Spatial Politics in Immigrant Suburbs

    It is now well established that the concentric zone model, developed by Ernest Burgess and elaborated by others in the Chicago School of Sociology to explain the distribution of social groups in metropolitan areas, was wrong. In the past several decades, immigrants have not only moved out of the centers of U.S. metropolitan areas, many have bypassed central cities altogether and settled directly in suburbs. Increasingly, they have done so in nontraditional gateway cities, such as those in the American South and Rustbelt, and in smaller metropolitan or nonmetropolitan areas (Singer et al.

  6. The Complexities of Race and Place: Childhood Neighborhood Disadvantage and Adult Incarceration for Whites, Blacks, and Latinos

    The author uses restricted geocoded tract-level panel data (1986–2014) that span the prison boom and the acceleration of residential segregation in the United States from two cohorts of the National Longitudinal Survey of Youth (1979 and Children and Young Adults) to study whether the association between childhood neighborhood disadvantage and adult incarceration varies by race and ethnicity. Sibling fixed-effects models suggest that exposure to childhood neighborhood disadvantage increases the likelihood of incarceration in adulthood, net of observed and unobserved adjustments.

  7. Measuring Stability and Change in Personal Culture Using Panel Data

    Models of population-wide cultural change tend to invoke one of two broad models of individual change. One approach theorizes people actively updating their beliefs and behaviors in the face of new information. The other argues that, following early socialization experiences, dispositions are stable. We formalize these two models, elaborate empirical implications of each, and derive a simple combined model for comparing them using panel data. We test this model on 183 attitude and behavior items from the 2006 to 2014 rotating panels of the General Social Survey.
  8. Does Climate Protest Work? Partisanship, Protest, and Sentiment Pools

    This study demonstrates whether and how climate protest increases or decreases the “sentiment pools” available to the climate movement. Using an experimental vignette survey design (n = 1,421), the author finds that compared with a control condition, peaceful marches are effective for both independents and Democrats, while civil disobedience has a positive effect among Democrats. These effects are isolated to those who are most certain of anthropogenic climate change. No effect is observed among Republicans.
  9. Revisiting China’s Social Volcano: Attitudes toward Inequality and Political Trust in China

    Existing literature suggests that despite rising inequality in China, Chinese people tend to tolerate inequality, so it would be unlikely that rising inequality would cause sociopolitical instability. Few studies, however, have systematically explained Chinese people’s attitudes toward inequality, analyzed attitudinal changes over time, or examined the relationship between such attitudes and political trust. The author’s analysis of national surveys in 2004, 2009, and 2014 yields three findings.
  10. Policing Gentrification: Stops and Low‐Level Arrests during Demographic Change and Real Estate Reinvestment

    Does low‐level policing increase during gentrification? If so, are police responding to increased crime, increased demand by new residents, or are they attempting to “clean up” neighborhoods marked for economic redevelopment? To address these questions, I construct a longitudinal dataset of New York City neighborhoods from 2009 to 2015. I compile data on neighborhoods’ demographics, street stops, low‐level arrests, crimes, 311 calls to the police, and—using a novel measure—property values.