Concern over social scientists' inability to reproduce empirical research has spawned a vast and rapidly growing literature. The size and growth of this literature make it difficult for newly interested academics to come up to speed. Here, we provide a formal text modeling approach to characterize the entirety of the field, which allows us to summarize the breadth of this literature and identify core themes. We construct and analyze text networks built from 1,947 articles to reveal differences across social science disciplines within the body of reproducibility publications and to discuss the diversity of subtopics addressed in the literature. This field-wide view suggests that reproducibility is a heterogeneous problem with multiple sources for errors and strategies for solutions, a finding that is somewhat at odds with calls for largely passive remedies reliant on open science. We propose an alternative rigor and reproducibility model that takes an active approach to rigor prior to publication, which may overcome some of the shortfalls of the postpublication model.
Researchers have investigated the effects of ethnic heterogeneity on a range of socioeconomic and political outcomes. However, approaches to measuring ethnic diversity vary not only across fields of study but even within subfields. In this review, we systematically dissect the computational approaches of prominent measures of diversity, including polarization, and discuss where and how differences emerge in their relationships with outcomes of interest to sociologists (social capital and trust, economic growth and redistribution, conflict, and crime). There are substantial similarities across computations, which are often generalizations or specializations of one another. Differences in how racial and ethnic groupings are constructed and in level of geographic analysis explain many divergences in empirical findings. We conclude by summarizing the type of measurement technique preferred by outcome, when relevant, and provide considerations for future researchers contemplating how best to operationalize diversity. Finally, we highlight two less widely used yet promising measures of diversity.
Zoning determines what can be built where, and is ubiquitous in the United States. Low-density residential zoning predominates in US cities far more than in other countries, limiting housing opportunities for those who cannot afford large homes. These zoning regulations have racist and classist origins, make housing more expensive, and reinforce segregation patterns. While sociologists study these consequences of zoning, and other causes of unaffordable housing and segregation, they rarely examine zoning itself. This article argues for a sociological research agenda on zoning and land use.
Fundamental Cause Theory (FCT) was originally proposed to explain how socioeconomic inequalities in health emerged and persisted over time. The concept was that higher socioeconomic status helped some people to avoid risks and adopt protective strategies using flexible resources - knowledge, money, power, prestige and beneficial social connections. As a sociological theory, FCT addressed this issue by calling on social stratification, stigma, and racism as they affected medical treatments and health outcomes. The last comprehensive review was completed a decade ago. Since then, FCT has been tested, and new applications have extended central features. The current review consolidates key foci in the literature in order to guide future research in the field. Notable themes emerged around types of resources and their usage, approaches used to test the theory, and novel extensions. We conclude that after 25 years of use, there remain crucial questions to be addressed.
While nearly three decades of "new immigrant destination" research has vastly enriched our understanding of diversity in contexts of reception within the United States, there is a striking lack of consensus as to the implications of geographic dispersion for immigrant incorporation. We review the literature on new destinations as they relate to ongoing debates regarding spatial assimilation and segmented assimilation; the influence of co-ethnic communities on immigrant incorporation; and the extent to which growth in immigrant populations stimulates perceived threat, nativism, and reactive ethnicity. In each of these areas, the sheer diversity of new destinations undermines consensus about their impact. Coupled with the continuous evolution in immigrant destinations over time, most dramatically but not limited to the impact of the Great Recession, we argue for the need to move beyond the general concept of "new destinations" and focus more directly on identifying the precise mechanisms through which the local context of reception shapes immigrant incorporation, where the historical presence of co-ethnic communities is but one of many dimensions considered, together with other labor, housing, and educational structures.
Despite decades of progress, the future of life expectancy in the United States is uncertain due to widening socioeconomic disparities in mortality, continued disparities in mortality across racial/ethnic groups, and an increase in extrinsic causes of death. These trends prompt us to scrutinize life expectancy in a high-income but enormously unequal society like the United States, where social factors determine who is most able to maximize their biological lifespan. After reviewing evidence for biodemographic perspectives on life expectancy, the uneven diffusion of health-enhancing innovations throughout the population, and the changing nature of threats to population health, we argue that sociology is optimally positioned to lead discourse on the future of life expectancy. Given recent trends, sociologists should emphasize the importance of the social determinants of life expectancy, redirecting research focus away from extending extreme longevity and towards research on social inequality with the goal of improving population health for all.