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  1. The Status Dynamics of Role Blurring in the Time of COVID-19

    Has the coronavirus disease 2019 pandemic altered the status dynamics of role blurring? Although researchers typically investigate its conflictual aspects, the authors assess if the work-home interface might also be a source of status—and the relevance of schedule control in these processes. Analyzing data from nationally representative samples of workers in September 2019 and March 2020, the authors find that role blurring is associated with elevated status, but the onset of coronavirus disease 2019 weakens that effect.

  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. Visualizing the Geographic and Demographic Distribution of COVID-19

    Whereas African Americans are disproportionately among the coronavirus disease 2019 (COVID-19) pandemic’s sick and dead, less is known about whether some racial/ethnic groups are more likely to be affected in Canada. In this data visualization, the authors address two issues limiting understanding of the spatial and demographic distribution of the COVID-19 pandemic in Canada: (1) COVID-19 infection and death counts are collected at a very high level of geographic aggregation, and (2) these counts are not tallied by sociodemographic group, including race/ethnicity.

  5. Cultural Archipelagos: New Directions in the Study of Sexuality and Space

    Research on sexuality and space makes assumptions about spatial singularity: Across the landscape of different neighborhoods in the city, there is one, and apparently only one, called the gayborhood. This assumption, rooted in an enclave epistemology and theoretical models that are based on immigrant migration patterns, creates blind spots in our knowledge about urban sexualities. I propose an alternative conceptual framework that emphasizes spatial plurality.

  6. Theory Making from the Middle: Researching LGBTQ Communities in Small Cities

    Urban lesbian, gay, bisexual, transgender, and queer (LGBTQ) community research in sociology has largely ignored LGBTQ communities in the most common urban form: small cities. In this article, I argue that LGBTQ communities in small cities are an underexplored source of theory making about LGBTQ communities more broadly, and I highlight the ways such research enhances LGBTQ community research. I first discuss a definitional framework of LGBTQ communities in small cities. In other words, what do we mean by small cities, and what do we mean by LGBTQ communities within them?

  7. Small‐City Gay Bars, Big‐City Urbanism

    Despite the widely hailed importance of gay bars, what we know of them comes largely from the gayborhoods of four “great cities.” This paper explores the similarities of 55 lone small‐city gay bars to each other and the challenges they pose to the sexualities and urban literatures.

  8. Comparing Internet Experiences and Prosociality in Amazon Mechanical Turk and Population-Based Survey Samples

    Given the high cost of traditional survey administration (postal mail, phone) and the limits of convenience samples such as university students, online samples offer a much welcomed alternative. Amazon Mechanical Turk (AMT) has been especially popular among academics for conducting surveys and experiments. Prior research has shown that AMT samples are not representative of the general population along some dimensions, but evidence suggests that these differences may not undermine the validity of AMT research.
  9. Sexual Abstinence in the United States: Cohort Trends in Abstaining from Sex While Never Married for U.S. Women Born 1938 to 1983

    In this data visualization, the authors document trends in abstaining from sex while never married for U.S. women born 1938–1939 to 1982–1983. Using data from the six most recent National Surveys of Family Growth, the authors’ estimates suggest that for women born in the late 1930s and early 1940s, 48 percent to 58 percent reported abstaining from sex while never married. Abstinence then declined rapidly among women born in the late 1940s through the early 1960s, leveling off at between 9 percent and 12 percent for more recent birth cohorts. Thus, for U.S.

  10. Cancer-Related Debt and Mental-Health-Related Quality of Life among Rural Cancer Survivors: Do Family/Friend Informal Caregiver Networks Moderate the Relationship?

    Social connectedness generally buffers the effects of stressors on quality of life. Is this the case for cancer-related debt among rural cancer survivors? Drawing on a sample of 135 rural cancer survivors, we leverage family/friend informal caregiver network data to determine if informal cancer caregivers buffer or exacerbate the effect of cancer-related debt on mental-health-related quality of life (MHQOL).