I checked 9 sociology journals on Friday, October 02, 2026 using the Crossref API. For the period September 25 to October 01, I found 41 new paper(s) in 7 journal(s).

American Journal of Sociology

A Farewell to Public Religion? Retheorizing and Assessing the Public Relevance of Religion
Damon Mayrl, Gary J. Adler, Jr., Jonathan S. Coley, Rebecca Sager, Elise Wolff, John P. Miller
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American Sociological Review

The Production of Inequality in High-Risk Pregnancy
Anna Claire Church
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How do socioeconomically advantaged individuals maintain their health advantage? Prior work shows how high socioeconomic status (SES) individuals secure advantages in areas such as housing or the labor market and provides longstanding evidence of health inequalities across SES. However, we have a more limited understanding of the mechanisms behind how high-SES individuals leverage structural advantage to improve their own health. This article draws on in-depth interviews with people diagnosed with gestational diabetes mellitus (GDM), a high-risk pregnancy condition that requires an intensive treatment regimen over a short timeframe, to reveal how socioeconomic advantage translates into health advantage. Socioeconomic advantage creates inequalities in health through multiple pathways, including excess financial resources that can be used to acquire health-relevant resources and access to flexible time to dedicate toward strict GDM management. Socioeconomically advantaged participants can thus respond to a diagnosis with GDM more quickly and efficiently than can disadvantaged participants. The divergent approaches to managing GDM that I uncover support advantaged individuals’ hyper-compliance with treatment guidelines, what I call going “above and beyond,” that translate into qualitatively different interactions with healthcare professionals than those of low-SES individuals, compounding structural (dis)advantage. Explicating the mechanisms through which high-SES individuals maintain health advantage identifies new directions for studying the production of inequality.

Social Forces

On legacy persistence: historical KKK organizations and racial exclusion in American sundown towns
Kunyuan Qiao, Ashley V Reichelmann, Matthew O Hunt
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Why do some communities perpetuate historical patterns of racial exclusion while others abandon them? We examine American sundown towns, communities that from the 1890s through the 1960s barred people of color from remaining within their borders after sunset. We argue that Second Wave Ku Klux Klan (KKK) organizations, active from 1915 through the 1940s, institutionalized and enforced this exclusion, embedding it in local structures. These structures imprinted White adolescents with negative racial attitudes toward Black people, and imprinted individuals subsequently engaged in residential sorting, remaining in or relocating to sundown towns with a strong KKK presence while avoiding those without such a history. Second Wave Klan prevalence therefore predicts the racial attitudes of White residents in historical sundown towns today. We find support for our hypotheses in a sample of more than 600 White respondents surveyed in historical sundown towns. We advance research on place-based racial legacies by showing that historical organized enforcement helps explain why legacies persist unevenly across communities and that this persistence operates through two individual-level mechanisms: attitudinal imprinting and residential sorting.
Review of “Island Time: Theory Groups and the Social Production of Scientific Knowledge”
Keith Sawyer
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Review of “Privileged Brotherhoods: Becoming Men at Elite All-Boys Schools”
Tristan Bridges
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Generational imprinting: how political events shape cohorts
Turgut KeskintĂĽrk
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Contemporary narratives of generational politics propose that formative experiences produce shared political opinions across an age cohort. In this article, I advance a theory of cohortization to challenge that view, arguing that large–scale political events produce differentiation within cohorts as much as differentiation between them. I investigate the implications of this framework through the killing of George Floyd and the subsequent Black Lives Matter protests in 2020, analyzing attitudes toward law enforcement among non-Hispanic White Americans from 2016 to 2024. Using survey data from Cooperative Congressional Election Study, American National Election Study, and the Nationscape, I show that younger and older cohorts diverged after the event, but this differentiation was driven exclusively by young Democrats and Independents. The end result was not a unified generation, but one internally divided along party lines. This finding qualifies theories of generational politics, emphasizing that formative experiences may intensify existing political divisions within cohorts.
Life and debt in rural America
Matthew M Brooks, Paromita Sanyal
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Sociology’s growing focus on household debt and wealth has overlooked a potentially salient axis of inequality: rural–urban disparities in the United States. Key facets of rural life indicate a disadvantage (e.g., higher poverty rates, lack of mainstream financial institutions) and a simultaneous advantage (e.g., predominantly White populations, lower cost of living). To address evidence gaps on rural–urban disparities in debt and wealth, we use Consumer Expenditure Survey data to (1) estimate rural–urban disparities in multiple kinds of household debt and wealth, (2) examine what may be driving these disparities, and (3) assess whether these disparities also vary by race. Our findings show that place is an important axis of US financial inequality. Compared to urban households, rural households consistently have less credit card, student loan, and mortgage principal debt, but they also have less retirement and liquid savings, and their homes are worth less. These differences largely persist above controls, suggesting that rurality shapes financial outcomes in ways not fully explained by income dynamics and population composition. Racial variations in debt and wealth are also pronounced within rural areas, mirroring national patterns. We offer careful interpretations of our findings in order to gauge the financial and material wellbeing of rural households, which is needed in a time of growing rural–urban economic and social divides.
Neighborhood change and Black-White segregation: 2000–2020
John R Logan, Liangdi Xu
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This study examines the relationship between neighborhood racial change and metropolitan segregation in 2000–2020. The most surprising finding is that the principal source of declining Black-White segregation has not been Black growth in White neighborhoods. Instead, it is a phenomenon that has not been noticed up to now—a substantial Black exodus from Black neighborhoods. The same kinds of neighborhoods where Black newcomers were increasingly concentrated in older, poorer sections of central cities in the 1920–1970 decades are now hollowing out, as residents find new opportunities elsewhere. We show that White exit from predominantly White neighborhoods is also an important source of segregation decline. At the same time, however, many predominantly Black neighborhoods have growing Black populations, pushing segregation upwards. This pattern was described as “succession” in early studies of central cities, but it is now likely to be found in suburban neighborhoods with newer housing, a smaller Black population share, and higher socioeconomic status compared to other Black neighborhoods. These and other findings shed new light on why segregation is declining and also why it is so persistent.

Social Networks

Generic title: Not a research article
Corrigendum to “Rigid boundaries, selective salience: How classroom gender composition shapes adolescent friendships” [Soc. Netw. 86 (2026) 401–411]
Eszter Vit, Isabel J. Raabe
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The decay of impact with network distance in linear diffusion processes
Alexander Murray-Watters, Cheng Wang, John R. Hipp, Cynthia Lakon, Carter T. Butts
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Multi-layer network analysis of deliberation in an online discussion platform: The case of Reddit
Tianshu Gao, Mengbin Ye, Robert Ackland
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Social networks, language, and material culture on New Guinea
Mark Golitko, James Zimmer-Dauphinee, John Edward Terrell, Esther M. Schechter
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Wiretap surveillance of criminal networks does not resemble other types of collaborative networks
Mitch Macdonald
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Gender differences in workplace friendship development: Insights from network dynamics
Inga Carboni, Andrew Parker, Alessandro Lomi
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Introducing VINA: An engaging and ethically responsible interface to collect social network data including cognitive social structures on smartphones
Tom Nijs, Tobias H. Stark, ZsĂłfia Boda
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Not all bonds are created equal: Dyadic latent class models for relational event data
Rumana Lakdawala, Roger Leenders, Joris Mulder
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Co-evolution of cooperation and conflict among organized crime groups: Evidence from the United Kingdom
Quang Nguyen, Paolo Campana, Nynke M.D. Niezink
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Bayesian modeling for aggregated relational data: A unified perspective
Owen G. Ward, Anna L. Smith, Tian Zheng
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Stability of egocentric social networks in children: Personal and functional dynamics across microsystems
Karl Titze, Christian Elting, Roswitha Sommer-Himmel
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When do acquaintance networks grow? Life events, civic participation, and social dynamics
Benjamín Muñoz, Alejandro Plaza, Vicente Espinoza
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Estimating within-cluster and between-cluster spillover effects in randomized saturation designs
Sizhu Lu, Lei Shi, Peng Ding
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Neighborhood shocks and network dynamics: An instrumental variable approach to measuring triadic closure in daily mobility networks
Karl Vachuska, Clayton Adamson
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Who you know, what you believe, what you share: Personal networks and health misinformation susceptibility
Eun Cheol Choi, Lindsay E. Young
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Dynamic programming for calculating the triad census
Ryan A. Cook
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Social network elements in loneliness interventions for older migrants: Insights from intervention documents and trainers
Mirjam Kingma, Tineke Fokkema, Bianca Suanet, BaĹźak Bilecen
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Birds of a feather at first sight: Decomposing homophily into tie formation and persistence
Thomas U. Grund
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Predicting member churn in dynamic groups: A multi-dimensional analysis
Maha Marhag, Raji Ghawi, JĂĽrgen Pfeffer
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Unequal relational gains in a sport intervention for asylum seekers: How sociodemographics and athletic skills shape network outcomes
Alejandro Ciordia, Cornelius Holler, Annabell SchĂĽĂźler, Miranda J. Lubbers, Cristiano Vezzoni
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Agency within structure: Strategic behavior and network position in explaining premium buyer access in global buyer–seller networks
Quyet-Tien Nguyen
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Relationships between node degrees and hyperedge sizes in empirical hypergraphs
Bogumił Kamiński, Paweł Prałat, Aleksander Wojnarowicz, Mateusz Zawisza
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Social Science Research

Neither settling nor conforming: expectations and reactions to low quality jobs of migrant-origin workers in the Netherlands
Leandro Iván Canzio, Valentina Di Stasio
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The influence of refugees’ housing location on their social contacts: Evidence from a national quasi-experiment
Kasper Otten, Samir Mustafa Negash
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Unequal advantage: Fatherhood premiums and penalties across wage distribution in China
Lei Shi, Yifei Hou
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The role of intergenerational social mobility in subjective social status: Comparing children of immigrants and children of natives
Louise Caron, Mathieu Ichou
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Crossing disciplinary boundaries: Interdisciplinary doctorates, field-of-study mismatch, and job satisfaction
Dong Joon Park
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Push-string or spring-back effect? Long-term effects of China's one-child policy on fertility outcomes
Zhiying Sun, Guolong Zhao
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Sociological Methods & Research

The Cognitive Housework Inventory: Developing Survey Questions to Measure the Division of Cognitive Housework
Jaclyn S. Wong, Jason Radford
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Housework is unequally shared in different-gender couples, leading to negative consequences for women and lowering couples’ relationship quality. Although qualitative research identifies cognitive housework as an important type of household labor, we lack validated measures of cognitive housework to use in survey settings, barring quantitative research on its division in broader populations and its effects on household members. We use an open-ended survey and cognitive interviews to develop the Cognitive Housework Inventory (CHI), a seven-item survey instrument to measure the division of cognitive housework among partnered individuals. We then validate the CHI using data from an online survey, along with pairwise correlations, exploratory factor analysis, and bivariate analyses by gender. Regression analyses estimating its associations with stress, burnout, and relationship satisfaction demonstrate how to use the CHI in empirical settings. Results indicate the CHI is a valid and parsimonious instrument that can be incorporated into larger surveys to ultimately generate additional quantitative data on the distribution of housework.
A Replication Framework for Observational Research: From Specification Restriction to Specification Expansion
Jonathan Ben-Menachem, Ari Galper, Nic Fishman
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Sociology has remained relatively insulated from debates about the “replication crisis.” Heeding calls to consider replication more deeply, we introduce a distinction between two types of research reforms that have emerged in the wake of the crisis: specification-restricting and specification-expanding reforms. Specification restriction is often promoted as a way to increase the repeatability of research findings by controlling false positives. We argue that this statistical justification is less compelling in observational contexts—where the assumptions licensing false-positive control are harder to sustain and rigid ex ante analytical commitments can instead enshrine fragile specifications—than in experimental contexts. We further argue that apparently low replication rates do not necessarily imply a high prevalence of false positive findings. Instead, we propose a replication framework centered on specification-expanding reforms, stronger incentives for confirmatory research, and meta-analysis. This approach equips sociologists to assess the repeatability of findings and build a more cumulative discipline.
Prediction-Based Adaptive Designs for Reducing Wave Nonresponse Rates and Bias in Panel Surveys
John Collins, Saskia Bartholomäus, Tobias Gummer, Bernd Weiß, Christoph Kern
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Machine learning (ML)-based nonresponse prediction in panel surveys enables selective interventions. However, the optimal use of ML predictions in Adaptive Survey Design (ASD) remains uncertain. We propose a method that integrates field experiment results on incentives, questionnaire length, and questionnaire content with ML-based propensity models to simulate ASD strategies ex-post with minimal assumptions. Using German panel data, we show that treating 15 percent of panelists, selected through ML-based predictions and R-indicator analysis, with increased cash incentives or a survey module on the respondents’ preferred topic can reduce nonresponse rates by up to 2 percentage points. These strategies also reduced bias in selected variables. We present our method as a framework for survey researchers to evaluate the expected outcomes of multiple ASD regimes simultaneously in a realistic setting. The framework helps identify both the criteria for allocating treatments to specific participant groups and the most effective modifications to the survey protocol.
Dynamics of Local Clustering in Temporal Social Networks
Cheng Wang, Omar Lizardo, David S. Hachen
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While the local clustering coefficient is central to network analysis, it is typically treated as a static property. We introduce delta clustering to quantify changes in an individual's local clustering across adjacent time points in undirected networks. To address structural constraints, we develop a density-based decomposition expressing clustering as a weighted combination of subgraph-specific densities, clarifying how ego-network size and composition bound clustering change. We identify six triadic components distinguishing reconfiguration among persisting contacts from the integration and loss of ties. Using high-resolution university communication networks, we estimate fixed effects models accounting for network size interactions. Variation in delta clustering is driven primarily by density changes among persisting contacts, followed by the integration of new contacts, with magnitudes conditioned by ego-network size and baseline density. We further demonstrate the measure's explanatory power by linking daily clustering changes to individual behavioral outcomes. These results establish delta clustering as a size-aware, temporally grounded measure of local structural change in dynamic social networks.
How Model Choice and Memory Shape Preference Consistency in Large Language Models
Yick Chung
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When a language model answers a sequence of questions, researchers report the model and temperature but rarely what or how it was told about its own earlier answers. I show that this underreported setting behaves as a mode effect. Testing four large language model (LLM) families with revealed preference theory (GARP) across moral, economic, and social tasks ( N = 5,926 ), I find that how prior choices re-enter the prompt, the memory condition , moves the share of internally consistent subjects by up to 48 percentage points, mostly where that share starts lowest. Memory also influences which preferences the models express and, in a silicon-sampling extension, it brings the answers closer to the human distribution. Nonetheless, gains in consistency and surface fidelity do not necessarily translate into representativeness: a consistent, human-looking model may not represent any human population. For LLMs as social-science instruments, this study offers promise, caution, and a method for testing the stability of sequential outputs.

Socius

Trends and Heterogeneity in Interracial Marriage in the United States, 1960 to 2023
Aaron Gullickson
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Although scholars recognize that interracial marriage in the United States has grown exponentially since the 1960s, our understanding of this trend for specific racial pairings is piecemeal and thin, because of issues with data comparability and lack of information on marriage timing between 1980 and 2007. In this study, the author uses log-linear models of census and American Community Survey data to analyze trends in interracial marriage from 1960 to 2023 across major single-race groups, as well as important subgroups and large multiracial groups. Weights are applied to match the joint age distribution of currently married partners to the age distribution of newlyweds in the same time period. Although the overall trend is one of exponential increase, important heterogeneity is visible when examining particular racial pairings or subgroups. Most notably, the likelihood of interracial marriage for East/Southeast Asian and American Indian/Alaska Native spouses plateaued by the end of the twentieth century and has not continued to grow. On the other hand, the likelihood of interracial marriage for Black spouses, although far lower than for any other group at the start of the period, has increased more rapidly than any other group. Overall, these results indicate an ongoing transformation of group boundaries.