I checked 9 sociology journals on Friday, July 03, 2026 using the Crossref API. For the period June 26 to July 02, I found 75 new paper(s) in 7 journal(s).

American Journal of Sociology

Authoritarian Absorption: The Transnational Remaking of Epidemic Politics in China
Carol A. Heimer
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Global Mega-Science: Universities, Research Collaborations, and Knowledge Production
Juan Pablo Pardo-Guerra
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A Good Reputation: How Residents Fight for an American Barrio
Philip ME Garboden
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A Victim’s Shoe, a Broken Watch, and Marbles: Desire Objects and Human Rights
Fiona Greenland
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Privileging Place: How Second Homeowners Transform Communities and Themselves
Mary J. Fischer
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The Manufacturing of Job Displacement: How Racial Capitalism Drives Immigrant and Gender Inequality in the Labor Market
Prentiss Dantzler
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DREAMers and the Choreography of Protest
Benjamin Roth
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Distancing the Past: Racism as History in South African Schools
Sherry L. Deckman
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Working Platforms
Josh Seim
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From Skepticism to Competence: How American Psychiatrists Learn Psychotherapy
Catherine Tan
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Curricular Injustice: How U.S. Medical Schools Reproduce Inequalities
Victor Erik Ray
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American Sociological Review

Neighborhood Desirability and Decision-Making in Online, Multiracial, Metropolitan America
Max Besbris, Ariela Schachter, John Kuk
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In the United States, the housing search process has largely moved online for urban residents, yet little work has examined if and how the information homeseekers are exposed to on housing websites matters for their assessments of potential destinations. We designed a unique, geographically contextual survey experiment that uses real neighborhood names and actual online housing advertisement text to test if residents’ ratings of neighborhoods as desirable are affected by novel information. We find that online housing information—descriptions of housing units, neighborhoods, and how to apply for leases—largely reproduces the existing racial-spatial hierarchy, where non-poor White neighborhoods are rated as the most desirable, and poor Black and Latinx neighborhoods are rated as the least, with Asian neighborhoods in between. Residents’ prior familiarity with neighborhoods in their metro attenuates but does not fully explain away these effects, and the effect varies by race/ethnicity, with White residents the most sensitive to novel information. We offer a sophisticated model of the digital information environment in which an ethnoracially diverse population is exposed to neighborhood options, and we detail how our methods improve survey experiment design more broadly. Our results show that relatively small amounts of seemingly race-neutral information can affect residential preferences.
Handing Off: Frontline Redistribution of Work
Elizabeth Chiarello, Kelley Fong, Josh Seim
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In the governance of poverty and marginality, a complex array of frontline workers manages social suffering. Enabled and constrained by vertical and horizontal relations of production, these workers frequently redistribute work across organizational boundaries. Recent scholarship often reduces such redistribution to a single dynamic: “burden shuffling.” This study extends and complicates that framework. Drawing on three case studies—ambulance crews, mandated reporters of child maltreatment, and physicians treating chronic pain—we theorize how frontline workers’ practical and moral judgments structure the form and justification of redistribution. Variation in the extent to which workers feel equipped and see tasks as worthwhile produces three distinct tactics: burden shuffling (when ill-equipped workers offload tasks they do not consider worthwhile), aspirational referrals (when ill-equipped workers seek better-equipped actors for tasks they view as worthwhile), and abandonment (when well-equipped workers disengage from tasks they deem unworthy and leave them to others). By disaggregating redistribution and tracing its relational conditions, this article shows how governance is enacted—and deferred—on the frontlines, and we offer a framework for understanding how workers navigate fragmentation and uneven responsibility in contemporary labor.

Social Forces

Filling the collective-practice gap: pedagogies of participation in participatory-democratic organizations
Amanda B Cox
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Participatory-democratic organizations seek to redistribute decision-making authority, but doing so raises a practical question: how do participants learn to exercise that authority in nonhierarchical, collective ways? This paper theorizes how participatory-democratic organizations address what I term the collective-practice gap: the gap between the individualistic capacities shaped in hierarchical institutions and the relational, participatory capacities required for nonhierarchical, collective participation. Drawing on ethnographic research in two participatory-democratic organizations—a democratic school and a community-governed philanthropic project—I examine how democratic capacity is cultivated through everyday organizational practice. I identify two dilemmatic pedagogical strategies used by experienced participants: the non-exercise of influence and taking the long view. Through these relational and temporal practices, experienced members strategically withhold outcome-directing intervention and tolerate slow, inefficient, or uncertain processes, creating conditions for others to develop the skills, values, and behaviors needed to function in a democratic, collective setting. These strategies, however, carry organizational risks—including delay, conflict, and uneven participation—because the practices that support democratic learning can also strain organizational functioning. Therefore, these strategies are best understood not as fixed solutions but as partial, situational responses to the tension between cultivating egalitarian participation and preserving organizational viability.
Review of “Managing Corporate Virtue: The Politics of Workplace Diversity in New York and Paris”
Bonnie Siegler
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A work of discernment: the co-construction of environmental expertise among agroecology farmers
Agueda Ortega
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Agroecology—a food production and consumption model that integrates ecological, social, and economic sustainability principles—underwent a period of significant growth in recent years in Argentina. Acquiring specialized knowledge about agroecology practices is a priority for farmers who pursue socio-environmental goals, but the process for building such expertise is not clearly laid out. While some consensus exists among agroecology practitioners about key guiding principles, institutionalized knowledge about agroecology is often insufficient, inadequate, and/or contested. Further, due to a long-standing history of state support for agribusiness—a model in many ways antithetical to agroecology—agroecology practitioners are wary of institutional knowledge that may not align with their socio-environmental principles. This raises the central question of this paper: how do farmers interact with institutions to generate agroecology expertise while navigating alignments between institutional knowledge and agribusiness? Based on ethnographic observations and in-depth interviews with agroecology farmers, state workers, activists, and technicians in an agricultural town in Córdoba, Argentina, this paper examines how agroecology expertise is built among farmers. The article argues by way of empirical demonstration that expertise surges through what I term a work of discernment— a dynamic process involving the evaluation and selective combination of institutional and occupational knowledge, based on perceived alignment of priorities and goals. The paper draws from literature on expertise construction and dissemination and theorizes work of discernment as a strategy employed by non-institutional actors to generate specialized knowledge.
For what benefit? State Right to Work laws and employer-provided retirement and health insurance benefits
Alec P Rhodes
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Employer-provided benefits add to total compensation and enhance economic security. Yet an increasing share of American workers lack access to employer-provided retirement and health insurance benefits, a trend that scholars link to labor union decline. I test whether state Right to Work (RTW) laws, which weaken associational worker power by targeting union security agreements, are associated with changes in employer-provided benefit coverage. Building on organizational inequality perspectives, I theorize a novel indirect impact whereby RTW conditions the returns to market-based structural worker power. I use two-way fixed effects models that leverage variation in the timing of RTW laws to estimate effects on employer-provided retirement and health insurance, relative to a control group of workers living in states that almost implemented RTW. Using pooled cross-sectional data from the 2001 to 2019 Current Population Surveys, I find that RTW weakened the inverse associations between state unemployment and retirement and health insurance benefits. Counterfactual analyses suggest declines in benefit coverage would have been lower or reversed had Indiana not implemented RTW. The findings suggest that attention to wages alone underestimate the consequences of RTW and highlight how different forms of worker power interact to shape compensation.
Review of “Labor Unions and Democratic Unrest in North Africa: Protest and Resistance in Tunisia and Morocco”
Colin Beck
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Review of “Explosive Emotions: How Modern Society Shapes What We Feel”
Natalia Ruiz-Junco
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Review of “Moved by Modernity: How Development Shapes Migration in Rural Ethiopia”
Kassahun Kebede
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Review of “Behind the Startup: How Venture Capital Shapes Work, Innovation, and Inequality”
Alexandrea J Ravenelle
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Review of “Trans Pleasure: On Gender Liberation and Sexual Freedom”
Abigail Tessmer, Meredith G F Worthen
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Review of “Hidden Suicides and Fatal Overdoses: A Forward Path”
William McConnell
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Social Networks

Not all bonds are created equal: Dyadic latent class models for relational event data
Rumana Lakdawala, Roger Leenders, Joris Mulder
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Network threats to causal inference: Variations in network position by participation in randomized controlled trials
Cassie McMillan, Mark C. Pachucki, Jiaao Yu, A. James O’Malley, Anne N. Thorndike, Douglas E. Levy
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Closing the loop: Design, implementation, and evaluation of a regular-feedback network intervention for social connectedness and mental health
Mohammad Khalilian, Anthony R. Bardo, Claire M. Reardon, Amy Kostelic, Susie Thiel, Robert W. Krause
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Socioeconomic homogeneity in acquaintance networks: Occupational prestige, education, and intergenerational mobility
Alejandro Espinosa-Rada, MatĂ­as Bargsted, Francisca Ortiz Ruiz
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Understanding the formation of interdisciplinary collaboration networks with an ERGM approach
Jinqing Yang, Xingyu Luo, Siyu Yao, Yuhan Wei
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Rigid boundaries, selective salience: How classroom gender composition shapes adolescent friendships
Eszter Vit, Isabel J. Raabe
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Network scale-up methods on aggregated relational data to estimate the outcome of elections
Jorge M. Arevalillo, Juan Marcos Ramírez, Sergio Díaz-Aranda, Jose Aguilar, Antonio Fernández Anta, Rosa E. Lillo
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The sociability space: Putting social networks into geographical space
Giovanna Fancello, Basile Chaix, Philippe Gerber, Yan Kestens, Alexandre Naud, Cédric Sueur, Julie Vallée
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Using LASSO for variable selection in exponential random graph models
Sergio Buttazzo, Göran Kauermann
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If all friends are perfectly reliable, then one friend always suffices: How non-reciprocity creates the Dunbar circles
Alexander V. Gubanov, Ivan V. Kozitsin
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Local signals, global stakes: Groups with aligned interests struggle to coordinate when information is noisy and shared locally
Isabelle Brocas, Juan D. Carrillo
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An intersectoral structural network intervention to expand social care in-and-with community: Key mechanisms of an intersectoral dementia community investment initiative
Melissa Park, Keven Lee, Sarah Piombo, Marie Christine Le Bourdais, Seiyan Yang, Arnaud Francioni, Thomas W. Valente
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Centrality in directed networks
Gordana Marmulla, Ulrik Brandes
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Estimating peer influence in multilayer networks
Weihua An, Pablo Estrada, Juan Estrada, David Jacho-Chavez
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Two-mode network autoregressive model for network analysis with core nodes
Huiyun Tang, Moxuan Mi, Yingying Ma, Haisheng Yang, Feifei Wang
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Estimating unknown populations from informant reports using scale-up reference groups and capture-recapture inference
Scott Feld, Alec McGail
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From hidden populations to social structure: Evolution of the Network Scale-Up Method, Aggregated Relational Data, and their applications
Miranda J. Lubbers, Beate Völker, Michał Bojanowski
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Micro–macro analysis of network change
Peng Huang
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Embedding-based synthetic control for causal inference in dynamic networks
Eunsung Yoon, Zhuofan Li
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A hybrid mixed methods design for understanding decision making, social structure, and network dynamics of life course transitions
Derek A. Kreager, David R. Schaefer, Kristina Brant, Nicolette Bardele, Brandy F. Henry
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Understanding the personal networks of people experiencing homelessness in King County, WA with aggregate relational data
Zack W. Almquist, Ihsan Kahveci, Owen Kajfasz, Janelle Rothfolk, Amy Hagopian
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From survey data to social multiplex models: Incorporating interlayer correlation from multiple data sources
Alec Fluer, Ian Laga, Logan Graham, Ellen Almirol, Makenna Meyer, John A. Schneider, Breschine Cummins
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Introduction to the Network Scale-up Method
Christopher McCarty, H. Russell Bernard
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Mapping the relational ecology of multi-organizational coalitions and collaboratives: Considerations in the conceptualization and design of social network analysis studies
Krista A. Haapanen, Megan S. Patterson, Brian D. Christens
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What accompanies companionship? Reassessing personal networks and loneliness among young and older adults
Markus H. Schafer, James S. Malo, Brandon M. Brown, Meagan L. McGourty
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The influence of social network on consumers’ negative reactions toward corporate social advocacy: An egocentric network analysis
Xueying Zhang, Ting Wang
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Who benefits most? Intervention-induced changes in the social networks of people living with dementia
Doris Gebhard, Jan Ellinger
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Causal inference for intervention spillover in a stepped wedge cluster-randomized trial: Lessons from a physician network
A. James O’Malley, Carly A. Bobak, Amber E. Barnato
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Investigating the impacts of missing data mechanims and treatments with latent space models
Tracy M. Sweet, Xin Qiao, Ashani Jayasekera, Yishan Ding
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Making the peers’ subjective well-being visible impairs cooperator-centered experimental social networks
Akihiro Nishi, Hiroyasu Ando, Meaghan Woody, Kamal Nayan Reddy Challa
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Ownership networks, financing and firm growth
Robert Petrunia, Linh Phan, Leonardo Sánchez-Aragón
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Working together through the storm: The role of task performance in a collaborative emergent multiorganizational disaster response network
Sabrina Mai, Carter T. Butts
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Networked philanthropy during COVID-19: A case study of community brokerage in Hong Kong
Ka Yi Fung, Wing Sun Chan, Miranda Mi Wa Chan
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Social influences in network and households’ e-commerce entrepreneurship in rural China
Tianyu Qiao, Zeqi Qiu
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Beyond linearity and time-homogeneity: Relational hyper event models with time-varying non-linear effects
Martina Boschi, JĂĽrgen Lerner, Ernst C. Wit
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A personal network analysis of remote workers
Mattia Vacchiano, Guillaume Fernandez, Eric D. Widmer
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Social Science Research

Generic title: Not a research article
Corrigendum to “Educational assortative mating and changing patterns of parental financial investment in children, 1990–2024” [Soc. Sci. Res. 136C (2026) 103347]
Hyo Joo Lee
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Socioeconomic divides in curricular pathways: Unpacking decision-making mechanisms and peer effects
Nicola Pensiero, Carlo Barone, Jan Germen Janmaat
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A Schumpeter hotel? Surname status inequality and persistence in Sweden, 1880–2015
Elien Dalman, Martin Dribe, Björn Eriksson
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Employment stability and social origin: Cumulative advantages in young adults’ homeownership and financial asset accumulation
Vincent Jerald Ramos, Ann Berrington
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No quick fix: Experimental evidence on whether school safety information mitigates anti-black perceptions and preferences for schools
Chantal A. Hailey
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Professional patterns: Occupation-Specific health behavior profiles
Connor Sheehan, Fred Pampel, Paul Espinoza
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Job loss and births. A couple-level study of Norwegian plant closures
Rishabh Tyagi, Elisa Brini, Daniele Vignoli
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Removal notice to “Social welfare expansion and political support during economic slowdown: A panel data analysis of China, 2010–2018” [Soc. Sci. Res. 125 (2025) 103112]
Xue Li, Bingdao Zheng
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Variation and change in high school STEM opportunity to learn in the US: Is the organization of the STEM curriculum functional or conflict driven?
Shangmou Xu, Sean Kelly
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Answering the call: How changes to the salience of job characteristics affect college students’ decisions
Carly D. Robinson, Katharine Meyer, Chasity Bailey-Fakhoury, Amirpasha Zandieh, Susanna Loeb
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From margins to mainstream: Migrant experiences and intergenerational transmission of educational aspiration in urban China
Ting Ge, Guangye He, Chenshuo Wu
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When do educational expectations motivate effort? Expectation-opportunity alignment and study time across 27 countries
Anna Yong
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The role of gender in gene by family SES interactions – A twin study across four European countries
Hannu Lehti, Kim Stienstra, Tina Baier, Torkild H. Lyngstad
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Secularization and low fertility: How declining church membership changes couples’ childbearing
Henrik-Alexander Schubert, Vegard Skirbekk, Jessica Nisén
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Sociological Methods & Research

Bayesian Indirect Estimation of Historical Fertility in Europe and US Using Online Genealogical Data
Riccardo Omenti, Monica Alexander, Nicola Barban
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A growing number of social scientists use online genealogical data as an alternative digital census of historical populations to study past demographic dynamics. However, the non-representativeness of this data source requires the development of bias-adjusting methods to obtain accurate demographic estimates. We address this challenge by proposing an indirect estimation framework to investigate fertility trends in seven European countries and the United States of America for the historical period 1751–1910, integrating data from the big genealogical database FamiLinx with more conventional data sources. The proposed methods allow for the indirect estimation of the total fertility rate using the number of women aged 15–49 and children under age 5, while accounting for child mortality, age-specific fertility patterns, and biases. Our methodological approaches demonstrate that, when combined with reliable demographic data, online genealogical data can be fruitfully used to examine fertility patterns in countries and periods lacking well-functioning national civil registration systems.
SOCbot: Using Large Language Models to Dynamically Measure and Classify Occupations in Surveys
Patrick Sturgis, Thomas S. Robinson, Laura Fung, Caroline Roberts
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We present the results of a new approach to measuring the occupations of respondents in surveys using Large Language Models (LLMs). In our new approach, which we call SOCbot, an LLM integrated in the questionnaire scripting software is used to code the job title to the occupational classification in real-time during the interview. Where the job title does not contain sufficient information to be coded with confidence, the LLM probes for further relevant details on job tasks, industry, qualifications, and so on. SOCbot can also be used offline on already collected response data. Our results demonstrate that the approach attains rates of coder reliability comparable to trained human coders, with consistent performance across four major commercial and open-weight model families. SOCbot can also be deployed using publicly available open-weight models with only a small but measurable accuracy penalty, allowing even users with stringent data-protection constraints to use it. We also demonstrate that the approach is feasible in large-scale survey operations and has significant potential to reduce respondent burden, lower costs, and yield more timely and accurate data.

Sociological Science

The Double Bind of Precarious Work: Creating Need and Undermining Support
Tyler Woods, Kristen Harknett, Daniel Schneider
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