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  1. After Moving to Opportunity: How Moving to a Low-poverty Neighborhood Improves Mental Health among African American Women

    A large body of nonexperimental literature finds residing in a disadvantaged neighborhood is deleterious for mental health, and recent evidence from the Moving to Opportunity (MTO) program—a social experiment giving families living in high-poverty neighborhoods the opportunity to move to low-poverty neighborhoods—suggests a causal effect of moving to a low-poverty neighborhood on adult mental health. We use qualitative data from 67 Baltimore adults who signed up for the MTO program to understand how moving to a low-poverty neighborhood produced these mental health benefits.

  2. Remaking Metropolitan America? Residential Mobility and Racial Integration in the Suburbs

    This article provides estimates of white residential mobility within and between specific suburban places differentiated by ethnoracial diversity. The authors draw on intrametropolitan mobility data from the Panel Study of Income Dynamics, linked to social and economic data measured at the metropolitan, place, and block levels. First, analyses show that the exodus of whites is significantly lower in predominantly white suburbs than in places with racially diverse populations. Most suburban whites have mostly white neighbors, a pattern reinforced by white residential mobility.

  3. The Varying Effects of Neighborhood Disadvantage on College Graduation: Moderating and Mediating Mechanisms

    This study estimates the effect of neighborhood disadvantage on bachelor’s degree attainment with data from a long-term follow-up of the Project on Human Development in Chicago Neighborhoods. We focus on heterogeneous effects by race and class as well as individual and neighborhood mechanisms that might explain observed patterns, including parents’ educational expectations, collective efficacy, social relationships, and neighborhood violence.

  4. Analyzing Meaning in Big Data: Performing a Map Analysis Using Grammatical Parsing and Topic Modeling

    Social scientists have recently started discussing the utilization of text-mining tools as being fruitful for scaling inductively grounded close reading. We aim to progress in this direction and provide a contemporary contribution to the literature. By focusing on map analysis, we demonstrate the potential of text-mining tools for text analysis that approaches inductive but still formal in-depth analysis.
  5. Talk on the Playground: The Neighborhood Context of School Choice

    Despite consensus that neighborhoods influence children's outcomes, we know less about the mechanisms that cause neighborhood inequality and produce those outcomes. Existing research overlooks how social networks develop among people at similar points in the life course through repeated interactions in neighborhoods. Existing studies do not illuminate the ways in which these geographically based networks can influence life‐altering decisions.

  6. Intersubjectivity, Normativity, and Grammar

    Interactants depend on background knowledge and commonsense inferences to establish and maintain intersubjectivity. This study investigates how the resources of language—or more specifically, of grammar—can be mobilized to address moments when such inferences might risk jeopardizing understanding in lieu of promoting it. While such moments may initially seem to undermine the normative commonsensicality of the particular inference(s) in question, the practice examined here is shown to legitimize those inferences through the very act of setting them aside.

  7. How Do We “Do Gender”? Permeation as Over-Talking and Talking Over

    Gendered expectations are imported from the larger culture to permeate small-group discussions, creating conversational inequalities. Conversational roles also emerge from the negotiated order of group interactions to reflect, reinforce, and occasionally challenge these cultural patterns. The authors provide a new examination of conversational overlaps and interruptions. They show how negotiated conversational roles lead a status distinction (gender) to shape conversational inequality.

  8. 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.

  9. Intracohort Trends in Ethnic Earnings Gaps: The Role of Education

    This study demonstrates that studying ethnic/racial inequality on the basis of cross-sectional data conceals how such inequality might unfold over the life course. Moving beyond a snapshot perspective, we ask, Do Israel’s Jewish ethnic groups differ in their long-term earnings trajectories? Analyzing nearly 20 years of registered earnings data, the authors find that for the same cohort (25- to 32-year-old Jews in 1995), the ethnic earnings gap has widened over these years.

  10. Are Robots Stealing Our Jobs?

    The media and popular business press often invoke narratives that reflect widespread anxiety that robots may be rendering humans obsolete in the workplace. However, upon closer examination, many argue that automation, including robotics and artificial intelligence, is spreading unevenly throughout the labor market, such that middle-skill occupations that do not require a college degree are more likely to be affected adversely because they are easier to automate than high-skill occupations.