Articles

Concept Class Analysis: A Method for Identifying Cultural Schemas in Texts

Marshall A. Taylor, Dustin S. Stoltz

Sociological Science November 9, 2020
10.15195/v7.a23


Recent methodological work at the intersection of culture, cognition, and computational methods has drawn attention to how cultural schemas can be “recovered” from social survey data. Defining cultural schemas as slowly learned, implicit, and unevenly distributed relational memory structures, researchers show how schemas—or rather, the downstream consequences of people drawing upon them—can be operationalized and measured from domain-specific survey modules. Respondents can then be sorted into “classes” on the basis of the schema to which their survey response patterns best align. In this article, we extend this “schematic class analysis” method to text data. We introduce concept class analysis (CoCA): a hybrid model that combines word embeddings and correlational class analysis to group documents across a corpus by the similarity of schemas recovered from them. We introduce the CoCA model, illustrate its validity and utility using simulations, and conclude with considerations for future research and applications.
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Marshall A. Taylor: Department of Sociology, New Mexico State University
E-mail: mtaylor2@nmsu.edu

Dustin S. Stoltz: Department of Sociology and Anthropology, Lehigh University
E-mail: dss219@lehigh.edu

Acknowledgments: A replication repository for this article can be found at: https://github.com/Marshall-Soc/CoCA. We thank Jesper Sørensen, the deputy editor, and the consulting editor for their thoughtful comments on this article.

  • Citation: Taylor, Marshall A., and Dustin S. Stoltz. 2020. “Concept Class Analysis: A Method for Identifying Cultural Schemas in Texts.” Sociological Science 7:544-569.
  • Received: July 31, 2020
  • Accepted: October 4, 2020
  • Editors: Jesper Sørensen, Gabriel Rossman
  • DOI: 10.15195/v7.a23


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Microaggressions in the United States

Kiara Wyndham Douds, Michael Hout

Sociological Science November 2, 2020
10.15195/v7.a22


“Microaggressions” is the term scholars and cultural commentators use to describe the ways that racism and other systems of oppression are upheld in everyday interactions. Although prior research has documented the types of microaggressions that individuals experience, we have lacked representative data on the prevalence of microaggressions in the general population. We introduce and evaluate five new survey items from the 2018 General Social Survey intended to capture five types of microaggressions. We assess the prevalence of each microaggression as well as a constructed microaggression scale across a key set of sociodemographic characteristics. We find that black Americans experience more microaggressions than other racialized groups, twice the rate of the general public for some types. Younger people report more microaggressions than older people. Women are more likely to report some types of microaggressions, and men others. Experiencing microaggressions is associated with an array of negative physical and mental health outcomes.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Kiara Wyndham Douds: Department of Sociology, New York University
E-mail: kiara.douds@nyu.edu

Michael Hout: Department of Sociology, New York University
E-mail: mikehout@nyu.edu

Acknowledgments: This research was conducted with institutional support from New
York University and no external funding.

  • Citation: Douds, Kiara Wyndham, and Michael Hout. 2020. “Microaggressions in the United States.” Sociological Science 7: 528-543.
  • Received: September 11, 2020
  • Accepted: September 25, 2020
  • Editors: Jesper Sørensen, Kim Weeden
  • DOI: 10.15195/v7.a22


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Sexual Identity Disclosure among Lesbian, Gay, and Bisexual Individuals

Long Doan, Trenton D. Mize

Sociological Science October 19, 2020
10.15195/v7.a21


Most research on sexual prejudice explicitly or implicitly assumes that an individual’s sexual orientation identity is known to observers. However, there has been little large-scale survey evidence examining differential rates of disclosure among lesbian, gay, and bisexual (LGB) individuals, and there remains much to be studied as to why and when LGB individuals choose to disclose their sexual identity to others. Using data from a nationally representative sample of LGB Americans (N=1,085), we assess the contexts and conditions under which LGB individuals disclose their sexual identities. Results show that bisexual women and men are significantly less likely to disclose their sexual identity across several important social domains, such as family and the workplace. This disclosure gap is partially explained by measures of identity commitment but surprisingly not by measures of perceived social acceptance. We discuss implications of these findings for sexuality and identity research.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Long Doan: Department of Sociology, University of Maryland
E-mail: longdoan@umd.edu

Trenton D. Mize: Department of Sociology and Advanced Methodologies, Purdue University
E-mail: tmize@purdue.edu

Acknowledgments: We thank Brian Powell, Lisa R. Miller, and Brian T. Connor for excellent suggestions on various drafts of this paper. Parts of this paper were presented at the Indiana University Social Psychology, Health, and the Life Course seminar and the 2017 ASA Meetings. We thank audience members in both venues for their valuable comments. We are also grateful to the Pew Research Center for collecting the data used in our analyses. Partial funding for open access was provided by the UMD Libraries’ Open Access Publishing Fund. Opinions, findings, and ‘conclusions presented in this paper are ours and do not necessarily represent the views of any of the organizations or individuals above.

  • Citation: Doan, Long, and Trenton D. Mize. 2020. “Sexual Identity Disclosure among Lesbian, Gay, and Bisexual Individuals.” Sociological Science 7: 504-527.
  • Received: August 19, 2020
  • Accepted: September 19, 2020
  • Editors: Jesper Sørensen, Gabriel Rossman
  • DOI: 10.15195/v7.a21


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Generalized Markovian Quantity Distribution Systems: Social Science Applications

Noah E. Friedkin, Anton V. Proskurnikov

Sociological Science October 8, 2020
10.15195/v7.a20


We propose a model of Markovian quantity flows on connected networks that relaxes several properties of the standard compartmental Markov process. The motivation of our generalization are social science applications of the standard model that do not comport with its steady state predictions. The proposed generalization relaxes the predictions that every node belonging to the same nontrivial strong component of a network must acquire the same fraction of its members’ initial quantities and that the sink component(s) of the network must absorb all of the system’s available initial quantity. For example, when applied to refugee flows from a nation in chaos to other nations on a network with one or more sink nations, the standard model predicts that all the refugees will be eventually located in the sink(s) of the network and none that will permanently locate themselves in the nations along the paths to the sink(s). We illustrate this and several other social science applications to which our proposed model is applicable.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Noah E. Friedkin: Department of Sociology and the Center for Control, Dynamical Systems, and Computation, University of California, Santa Barbara
E-mail: friedkin@soc.ucsb.edu

Anton V. Proskurnikov: Politecnico di Torino, Turin, Italy, and the Institute for Problems of Mechanical Engineering of the Russian Academy of Sciences, St. Petersburg, Russia
E-mail: anton.p.1982@ieee.org

  • Citation: Friedkin, Noah E., and Anton V. Proskurnikov. 2020. “Generalized Markovian Quantity Distribution Systems: Social Science Applications.” Sociological Science 7: 487-503.
  • Received: September 3, 2020
  • Accepted: September 10, 2020
  • Editors: Jesper Sørensen, Olav Sorenson
  • DOI: 10.15195/v7.a20


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Interactions between Polygenic Scores and Environments: Methodological and Conceptual Challenges

Benjamin W. Domingue, Sam Trejo, Emma Armstrong-Carter, Elliot M. Tucker-Drob

Sociological Science September 21, 2020
10.15195/v7.a19


Interest in the study of gene–environment interaction has recently grown due to the sudden availability of molecular genetic data—in particular, polygenic scores—in many long-running longitudinal studies. Identifying and estimating statistical interactions comes with several analytic and inferential challenges; these challenges are heightened when used to integrate observational genomic and social science data. We articulate some of these key challenges, provide new perspectives on the study of gene–environment interactions, and end by offering some practical guidance for conducting research in this area. Given the sudden availability of well-powered polygenic scores, we anticipate a substantial increase in research testing for interaction between such scores and environments. The issues we discuss, if not properly addressed, may impact the enduring scientific value of gene–environment interaction studies.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Benjamin W. Domingue: Graduate School of Education, Stanford University
E-mail: bdomingu@stanford.edu

Sam Trejo: La Follette School of Public Affairs & Department of Sociology, University of Wisconsin–Madison
E-mail: sam.trejo@wisc.edu

Emma Armstrong-Carter: Graduate School of Education, Stanford University
E-mail: emmaac@stanford.edu

Elliot M. Tucker-Drob: Department of Psychology and Population Research Center, University of Texas at Austin
E-mail: tuckerdrob@utexas.edu

Acknowledgments: This work has been supported by the Russell Sage Foundation and the Ford Foundation (grant 96-17-04). S.T. was supported by the National Science Foundation (grant DGE-1656518) and the Institute of Education Sciences (grant R305B140009). E.M.T.-D. was supported by the National Institutes of Health (grants R01AG054628, R01MH120219, and R01HD083613) and by the Jacobs Foundation. Any opinions expressed are those of the authors alone and should not be construed as representing the opinions of any foundation. The authors would like to thank Jason Boardman and Jason Fletcher for comments on an early draft of this article.

  • Citation: Domingue, Benjamin W., Sam Trejo, Emma Armstrong-Carter, and Elliot M. Tucker-Drob. 2020. “Interactions between Polygenic Scores and Environments: Methodological and Conceptual Challenges.” Sociological Science 7: 465-486.
  • Received: June 5, 2020
  • Accepted: August 24, 2020
  • Editors: Olav Sorenson
  • DOI: 10.15195/v7.a19


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Bounded Solidarity in Cross-National Encounters: Individuals Share More with Others from Poor Countries but Trust Them Less

Felix Bader, Marc Keuschnigg

Sociological Science September 8, 2020
10.15195/v7.a17


Globalization makes cross-national encounters increasingly common. Hesitant cooperation across national, ethnic, and cultural boundaries, however, undercuts the microlevel stabilizers of global integration and, most importantly, the willingness to share with and place trust in members of other social groups. In a 109-country online experiment, we convey information on interaction partners’ nationalities to indicate membership in a broader in- or out-group, cultural distance, and perceived material neediness—or status differences more generally—to 1,674 participants in incentivized games of generosity (dictator game) and trust (trust game). We find consistent evidence for in-group favoritism and—against this benchmark—demonstrate that individuals across the globe share more with but place less trust in interaction partners from poor countries and that cultural distance moderates this status effect.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Felix Bader: Department of Social Sciences, Technical University of Kaiserslautern
E-mail: felix.bader@sowi.uni-kl.de

Marc Keuschnigg: Institute for Analytical Sociology, Linköping University
E-mail: marc.keuschnigg@liu.se

Acknowledgments: We thank Hanna Nau, Leona Przechomski, and Fabian Thiel for excellent research assistance and Amelie Aidenberger, Johanna Gereke, Wojtek Przepiorka, and Heiko Rauhut for discussions. This research received funding from the German Research Foundation (KE 2020/2-1). M.K. further acknowledges the Swedish Research Council (2018-05170). Address correspondence to felix.bader@sowi.uni-kl.de.

  • Citation: Bader, Felix, and Marc Keuschnigg. 2020. “Bounded Solidarity in Cross-National Encounters: Individuals Share More with Others from Poor Countries but Trust Them Less.” Sociological Science 7: 415-432.
  • Received: June 5, 2020
  • Accepted: July 22, 2020
  • Editors: Jesper Sørensen, Delia Baldassarri
  • DOI: 10.15195/v7.a17


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Signs of the End of the Paradox? Cohort Shifts in Smoking and Obesity and the Hispanic Life Expectancy Advantage

Jennifer Van Hook, Michelle L. Frisco, Carlyn E. Graham

Sociological Science August 31, 2020
10.15195/v7.a16


Hispanics’ paradoxical life expectancy advantage over whites has largely been attributed to Hispanics’ lower smoking prevalence. Yet across birth cohorts, smoking prevalence has declined for whites and Hispanics, and Hispanics’ obesity prevalence has increased substantially. Our analysis uses data from the 1989 to 2014 National Health Interview Survey and Linked Mortality files to investigate whether these trends could lead Hispanics to lose their comparative mortality advantage. Simulations suggest that foreign-born Hispanics’ life expectancy advantage over whites is likely to persist because cohort trends in smoking and obesity largely offset each other. However, U.S.-born Hispanics’ life expectancy advantage over whites is likely to diminish or disappear entirely as the 1970s and 1980s birth cohorts age due to increases in obesity prevalence and the relatively high mortality risks of those who are obese. Results have important implications for understanding the future of immigrants’ health advantages and ethnic disparities in health.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Jennifer Van Hook: Department of Sociology, Penn State University
E-mail: jxv21@psu.edu

Michelle L. Frisco: Department of Sociology, Penn State University
E-mail: mlf112@psu.edu

Carlyn E. Graham: Department of Sociology, Penn State University
E-mail: ceg248@psu.edu

Acknowledgments: We are grateful to Virginia Chang for helpful comments in her role as a discussant of this article at the 2019 meeting of the Population Association of America. We also acknowledge assistance provided by the Population Research Institute at Penn State University, which is supported by an infrastructure grant from the Eunice Kennedy Shriver National Institute of Child Health and Human Development (P2CHD041025).

  • Citation: Van Hook, Jennifer, Michelle L. Frisco, and Carlyn E. Graham. 2020. “Signs of the End of the Paradox? Cohort Shifts in Smoking and Obesity and the Hispanic Life Expectancy Advantage.” Sociological Science 7: 391-414.
  • Received: June 13, 2020
  • Accepted: July 20, 2020
  • Editors: Jesper Sørensen, Sarah Soule
  • DOI: 10.15195/v7.a16


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What Age Is in a Name?

Sasha Shen Johfre

Sociological Science August 24, 2020
10.15195/v7.a15


Social scientists often describe fictional people in survey stimuli using first names. However, which name a researcher chooses may elicit nonrandom impressions, which could confound results. Although past research has examined how names signal race and class, very little has examined whether names signal age, which is a highly salient status characteristic involved in person construal. I test the perceived demographics of 228 American names. I find that most strongly signal age, with older-sounding names much more likely to be perceived as white than as black. Furthermore, participants’ perceptions of the age of a name poorly match with the true average birth year of people with that name, suggesting that researchers cannot simply use birth records as a proxy for perceived age. To assist researchers in name selection, I provide a set of candidate names that strongly signal a matrix of combined age, race, and gender categories.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Sasha Shen Johfre: Department of Sociology, Stanford University
E-mail: sjohfre@stanford.edu

Acknowledgments: Many thanks to David Pedulla, Jeremy Freese, Amy Johnson, Hesu Yoon, Jennifer Freyd, and Hannah Johfre Shen for their very helpful comments on earlier drafts of this article. This research was made possible through financial support from the Stanford Laboratory for Social Research and the Stanford Center on Longevity.

  • Citation: Johfre, Sasha Shen. 2020. “What Age Is in a Name?” Sociological Science 7: 367-390.
  • Received: May 16, 2020
  • Accepted: July 2, 2020
  • Editors: Gabriel Rossman, Arnout van de Rijt
  • DOI: 10.15195/v7.a15


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Pretrial Detention and the Costs of System Overreach for Employment and Family Life

Sara Wakefield, Lars Højsgaard Andersen

Sociological Science August 17, 2020
10.15195/v7.a14


Using unique Danish register data that allow for comparisons across both conviction and incarceration status, this article analyzes the association between pretrial detention and work, family attachment, and recidivism. We find that pretrial detention may impose unique social costs, apart from conviction or additional punishments. Most notably, men who are detained pretrial experience poorer labor market trajectories than men who are convicted of a crime (but not incarcerated). Importantly, this result holds even for men who are detained pretrial but who are not convicted of the crime. Consistent with prior research, we also find that pretrial detention is unrelated to later family formation but might disrupt preexisting household arrangements. Finally, the associations between pretrial detention and work and family life are not counterbalanced by reductions in recidivism.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Sara Wakefield: School of Criminal Justice, Rutgers University, Newark
E-mail: sara.wakefield@rutgers.edu

Lars Højsgaard Andersen: ROCKWOOL Foundation Research Unit
E-mail: lha@rff.dk

Acknowledgments: We thank Robert Apel and Christopher Wildeman for helpful comments and the ROCKWOOL Foundation for their support of this research.

  • Citation: Wakefield, Sara, and Lars Højsgaard Andersen. 2020. “Pretrial Detention and the Costs of System Overreach for Employment and Family Life.” Sociological Science 7: 342-366.
  • Received: April 18, 2020
  • Accepted: June 20, 2020
  • Editors: Jesper Sørensen, Sarah Soule
  • DOI: 10.15195/v7.a14


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