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  1. The Growth Machine Across the United States: Business Actors’ Influence on Communities’ Economic Development and Limited‐Government Austerity Policies

    The growth machine (GM) perspective has long guided urban research. Our study provides a new extension of this perspective, focusing on local business actors’ influence on communities across the United States. We question whether GM‐oriented business actors remain widely associated with contemporary local economic development policies, and further, whether these actors influence the use of limited‐government austerity policies. Conceptually, we extend the GM framework by bringing it into dialogue with the literature on urban austerity policy.

  2. Integrating Community-based Research into a Senior Capstone Seminar: Lessons Learned from a Mixed-methods Study

    This article describes a senior capstone, Neighborhoods and Health, which used community-based research (CBR) as its primary pedagogy. Students in the course drew upon multiple research methods and forms of data to provide our partner, the Urban Farming Institute of Boston, with an array of research products in support of the revitalization of a historic farm in the Boston neighborhood of Mattapan.

  3. Cabdrivers and Their Fares: Temporal Structures of a Linking Ecology

    The author argues that behind the apparent randomness of interactions between cabdrivers and their fares in Warsaw is a temporal structure. To capture this temporal structure, the author introduces the notion of a linking ecology. He argues that the Warsaw taxi market is a linking ecology, which is structured by religious time, state time, and family time. The author then focuses on waiting time, arguing that it too structures the interactions between cabdrivers and their fares.

  4. 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.

  5. Religion and Sexual Behaviors: Understanding the Influence of Islamic Cultures and Religious Affiliation for Explaining Sex Outside of Marriage

    Social scientists have long been interested in how cultural and structural characteristics shape individuals’ actions. We investigate this relationship by examining how macro- and micro-level religious effects shape individuals’ reports of premarital and extramarital sex. We look at how identifying with one of the major world religions—Islam, Hinduism, Christianity, Buddhism, or Judaism—and living in a nation with a Muslim culture shape the likelihood of sex outside of marriage.

  6. 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.

  7. Americans’ Perceptions of Transgender People’s Sex: Evidence from a National Survey Experiment

    Drawing on the first national survey experiment of its kind (n = 3,922), the authors examine Americans’ perceptions of transgender people’s sex and the factors that underlie these perceptions. The authors randomly assigned respondents to a vignette condition describing a transgender person whose self-identified gender (i.e., identifies as a man or a woman), age (i.e., adult or teenager), and gender conformity in physical appearance (i.e., conforming, nonconforming, ambiguous, or unspecified) had been experimentally manipulated.

  8. 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.

  9. Emergence of Third Spaces: Exploring Trans Students’ Campus Climate Perceptions Within Collegiate Environments

    Our study aims to understand trans students’ perceptions of campus climate, with a particular focus on students’ demographics, academic experiences, and cocurricular experiences. We use Bhabha’s concept of third space as an epistemological lens and Rankin and Reason’s transformational tapestry model as a theoretical framework. Using a national sample of 207 trans collegians from the National LGBTQ Alumnx Survey, we utilize regression analysis supplemented by an analysis of open-ended responses to highlight the experiences of trans respondents.

  10. 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.