Annual Review of Sociology最新文献

The U.S. Panel Study of Income Dynamics (PSID) celebrated its 50^th anniversary in 2018. Initially designed to assess the nation's progress in combatting poverty, PSID's scope broadened quickly to a variety of topics and fields of inquiry. To date, sociologists are the second-most frequent users of PSID data after economists. Here, we describe the ways in which PSID's history reflects shifts in social science scholarship and funding priorities over half a century, take stock of the most important sociological breakthroughs it facilitated, in particular those relying on the longitudinal structure of the data, and critically assess the unique advantages and limitations of the PSID and surveys like it for today's sociological scholarship.

The integration of social science with computer science and engineering fields has produced a new area of study: computational social science. This field applies computational methods to novel sources of digital data such as social media, administrative records, and historical archives to develop theories of human behavior. We review the evolution of this field within sociology via bibliometric analysis and in-depth analysis of the following subfields where this new work is appearing most rapidly: (a) social network analysis and group formation; (b) collective behavior and political sociology; (c) the sociology of knowledge; (d) cultural sociology, social psychology, and emotions; (e) the production of culture; (f) economic sociology and organizations; and (g) demography and population studies. Our review reveals that sociologists are not only at the center of cutting-edge research that addresses longstanding questions about human behavior but also developing new lines of inquiry about digital spaces as well. We conclude by discussing challenging new obstacles in the field, calling for increased attention to sociological theory, and identifying new areas where computational social science might be further integrated into mainstream sociology.

Scholars have long looked to family composition to understand child well-being. Family instability, or the experience of repeated changes in parents' union status during childhood, represents a recent advance in this field that takes into account the dynamic nature of contemporary family organization and considers its implications for children's adjustment and development. We review some of the structural and cultural factors that have contributed to rising levels of family instability and highlight the emergence of national data to measure it. We then review the perspective that guides much of the scholarship on family instability and critically assess the contributions of this work to the understanding of child well-being. We close by suggesting new directions for research, with a call for work that broadens the conceptualization and measurement of contemporary children's family systems and home environments as well as the mechanisms that explain why-or whether-instability matters.

This review proposes that the end of life is a uniquely contemporary life course stage. Epidemiologic, technological, and cultural shifts over the past two centuries have created a context in which dying has shifted from a sudden and unexpected event to a protracted, anticipated transition following an incurable chronic illness. The emergence of an end-of-life stage lasting for months or even years has heightened public interest in enhancing patient well-being, autonomy, and the receipt of medical care that accords with patient and family members' wishes. We describe key components of end-of-life well-being and highlight socioeconomic and race disparities therein, drawing on fundamental cause theory. We describe two practices that are critical to end-of-life well-being (advance care planning and hospice) and identify limitations that may undermine their effectiveness. We conclude with recommendations for future sociological research that could inform practices to enhance patient and family well-being at the end of life.

For the past 80 years, social scientists have been linking historical censuses across time to study economic and geographic mobility. In recent decades, the quantity of historical census record linkage has exploded, owing largely to the advent of new machine-readable data created by genealogical organizations. Investigators are examining economic and geographic mobility across multiple generations, but also engaging many new topics. Several analysts are exploring the effects of early-life socioeconomic conditions, environmental exposures, or natural disasters on family, health and economic outcomes in later life. Other studies exploit natural experiments to gauge the impact of policy interventions such as social welfare programs and educational reforms. The new data sources have led to a proliferation of record linkage methodology, and some widespread approaches inadvertently introduce errors that can lead to false inferences. A new generation of large-scale shared data infrastructure now in preparation will ameliorate weaknesses of current linkage methods.

This article provides an overview of the integration of biomarkers and biological mechanisms in social science models of stratification and health. The goal in reviewing this literature is to highlight research that identifies the social forces that drive inequalities over the life course and across generations. The article is structured in the following way. First, descriptive background information on biomarkers is presented, followed secondly by a review of the general theoretical paradigms that lend themselves to an integrative approach. Third, the biomarkers used to capture several biological systems that are most responsive to social conditions are described. Fourth, research that explicates how social exposures "get under the skin" to affect physiological functioning and downstream health is discussed, using socioeconomic disadvantage as an illustrative social exposure. The review ends with emerging directions in the use of biomarkers in social science research. This article endeavors to encourage sociologists to embrace biosocial approaches in order to elevate the importance of social factors in biomedical processes and to intervene on the social conditions that create inequities.

We review research on institutions of redistribution operating in high-income countries. Focusing on the nonelderly, we invoke the concept of the household income package, which includes income from labor, from related households, and from the state. Accordingly, we assess three institutional arenas: predistribution (rules and regulations that govern paid work), private redistribution (interhousehold transfers), and conventional public redistribution (operating via cash transfers and direct taxes). In each arena, we assess underlying policy logics, identify current policy controversies, summarize contemporary cross-national policy variation, and synthesize existing findings on policy effects. Our assessment of redistributional effects focuses on three core socioeconomic outcomes: low pay, child poverty, and income inequality. We close by assessing how the three institutional arenas perform collectively and by calling for further work on how these institutions change over time and how they affect subgroups differentially.