Tag Archives | Inequality

Teacher Sorting and Inequalities in Student Achievement: Unequal Exposures and Differential Returns to Teacher Qualifications

Said Hassan

Sociological Science June 30, 2026
10.15195/v13.a29


Teachers play a formative role in shaping children’s school experiences and ultimately, their educational outcomes. In this study, I use full population Danish administrative data to explore the consequences of unequal access to qualified teachers in three steps. First, I document strong patterns of teacher–student sorting in Denmark, one of the world’s most equal societies and generous welfare states. In short, teachers from higher socioeconomic backgrounds and with higher prior academic achievements tend to select into schools serving high-achieving children from privileged backgrounds. Second, I investigate the effect of exposure to teachers with different qualifications on students’ test score performance. To facilitate causal estimates, I exploit plausibly exogenous shocks to teacher changes induced by parental leave spells, which, I show, are unrelated to an extensive set of observed classroom characteristics, including student well-being and measures of classroom climate. Third, I explore differentials in the impact of teacher qualifications by students’ socioeconomic background. I find no consistent evidence of differential teacher effects, implying that teacher-induced learning inequalities are mainly driven by unequal exposure to highly qualified teachers, rather than unequal returns to qualifications. This suggests that policies equalizing access to qualified teachers may reduce learning disparities.

Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.


Said Hassan: Nuffield College, University of Oxford.
E-mail: said.aj.hassan@gmail.com.

Acknowledgments: I am grateful to Richard Breen, David Kirk, Per Engzell, Dirk Witteveen, Anders Hjorth-Trolle, Miriam Gensowski, Janne Jonsson, John Ermisch, Ahmed Tohamy, Anders Holm, and Lars Højsgaard Andersen for their very helpful comments and suggestions on earlier versions. This research was supported by the ROCKWOOL Foundation (grant number 1231).


Supplemental Materials

Reproducibility Package: Information on accessing the administrative register data and all code used in the analysis is available at: https://github.com/s-aj-hassan/Teacher-Sorting-Achievement.


  • Citation: Hassan, Said. 2026. “Teacher Sorting and Inequalities in Student Achievement: Unequal Exposures and Differential Returns to Teacher Qualifications” Sociological Science 13: 747-771.
  • Received: March 30, 2026
  • Accepted: April 17, 2026
  • Editors: Arnout van de Rijt, Herman van de Werfhorst
  • DOI: 10.15195/v13.a29


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Changing Opportunity: Rising Local Wealth Inequality and Growing Class Gaps in Income Mobility

Manuel Schechtl, Florencia Torche

Sociological Science June 15, 2026
10.15195/v13.a25


Recent research documents widening class gaps in intergenerational income mobility in the United States. Children from low-income families in more recent cohorts attain lower incomes than their counterparts in earlier cohorts, while no comparable decline is observed among children from high-income families. This study examines whether rising local wealth inequality contributes to this growing class divide in mobility. To do so, it combines newly published estimates of local wealth inequality from GEOWEALTH-US with cohort-based measures of upward mobility from Opportunity Insights. First-difference models reveal a consistent negative association between rising local wealth inequality and declining upward income mobility for children from low-income families, but no comparable association for their high-income peers. These associations are robust to economic and demographic changes, including, critically, changes in income inequality. A decomposition exercise suggests that rising local wealth inequality accounts for roughly one-fifth of the observed increase in class gaps in mobility. Together, the findings identify local wealth inequality as a central dimension of stratification shaping children’s economic opportunities above and beyond income inequality.

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Manuel Schechtl: University of North Carolina at Chapel Hill.
E-mail: schechtl@unc.edu

Florencia Torche: Princeton University.
E-mail: ftorche@princeton.edu

Acknowledgments: This research was funded by the Volkswagen Foundation.


Supplemental Materials

Reproducibility Package All code necessary to replicate
this study is available in an OSF repository at: https://osf.io/a3vfd/


  • Citation: Schechtl, Manuel, Florencia Torche. 2026. “Changing Opportunity: Rising Local Wealth Inequality and Growing Class Gaps in Income Mobility” Sociological Science 13: 645-660.
  • Received: March 13, 2026
  • Accepted: April 27, 2026
  • Editors: Stephen Vaisey, Herman van de Werfhorst
  • DOI: 10.15195/v13.a25


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How a Seemingly Innocuous and Intuitive Methodological Choice Confused a Generation of Research on Policy Responsiveness

Peter K. Enns

Sociological Science May 4, 2026
10.15195/v13.a21

The finding that government policy is, “virtually unrelated to the desires of the low- and middle-income citizens” (Gilens 2005:789), is one of the most influential social science results of the last two decades. This article offers a new perspective on this finding. I show that the seemingly innocuous decision to restrict analyses to data where different income groups’ policy support differs (i.e., a preference gap exists) introduced Simpson’s paradox, leading to misleading conclusions about whose preferences policy reflects. The same concerns apply to analyses of responsiveness to men and women and to partisan groups. I also present evidence that other common approaches for evaluating policy responsiveness can produce equally misleading conclusions. These findings suggest a need to reconsider conventional wisdom about political influence. The conclusion offers methodological recommendations and discusses implications related to understanding social and economic inequality and support for populist candidates.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.


Peter K. Enns: Professor, Department of Government; Professor, Brooks School of Public Policy; Robert S. Harrison Director, Cornell Center for Social Sciences, Cornell University; Co-founder and Chief Data Scientist, Verasight.
E-mail: peterenns@cornell.edu.

Acknowledgments: I thank Gabrielle Sorresso and Claudia Miner for outstanding research assistance, David Bateman, Dan Butler, Scott Desposato, Derek Epp, Chris Faricy, Marty Gilens, Luke Keele, Doug Kriner, Neil Malhotra, Henry Mo, Jacob Montgomery, Tom Pepinsky, Bryn Rosenfeld, Kim Weeden, Ariel White, and Chris Wlezien for extremely helpful comments and feedback, Stephen Parry and Kenneth Tyler Wilcox from Cornell’s Statistical Consulting Unit, and the Cornell Center for Social Sciences for verifying that the data and replication code replicate the numerical results reported in the main text and online supplement to this article. Previous versions of this article were presented at the University of California San Diego Methods Workshop, the 2024 Annual Meeting of the American Political Science Association, the 2024 Annual Meeting of the Society for Political Methodology, the 25th Anniversary of the American Politics Research Group (APRG) George Rabinowitz Seminar at the University of North Carolina at Chapel Hill, and Introduction to Public Policy (PUBPOL 2301), Public Opinion (GOVT 6461), Time Series Analysis (GOVT 6089), and Comparative Political Behavior (GOVT 6594) courses at Cornell University.


Supplemental Materials

Reproducibility Package: Data and code to reproduce all numerical results are available here: https://doi.org/10.7910/DVN/9QADPC.


  • Citation: Enns, K. Peter. 2026. “How a Seemingly Innocuous and Intuitive Methodological Choice Confused a Generation of Research on Policy Responsiveness” Sociological Science 13: 528-564.
  • Received: December 15, 2025
  • Accepted: February 25, 2026
  • Editors: Arnout van de Rijt, Bart Bonikowski
  • DOI: 10.15195/v13.a21


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More Common, Less Equal: Disparities in College Internship Participation Over Time

Carrie L. Shandra

Sociological Science April 23, 2026
10.15195/v13.a19


Internships play a key role in the production of inequality in the U.S. labor market, yet are often unobserved in analyses of youth employment. This study makes two empirical contributions to the study of internships. First, I use nationwide data from the 1994–2017 College Senior Survey to evaluate the association between internship participation and individual and institutional markers of privilege over time, net of grades, college major, and demographic controls. Second, I test if disparities in internship participation narrowed, persisted, or widened over three decades, independent of controls. Results indicate that internship participation has more than doubled since the mid-1990s, marking a period of rapid internship expansion, but these gains were not equal for all students. Those with the highest family income, with college-educated parents, from the most selective colleges, and from private colleges were consistently more likely to participate. Further, these internship participation gaps persisted or widened over time. Findings indicate that internships follow similar patterns of stratification as formal credentials, despite their more ambiguous nature. They also suggest that persistent barriers to internship participation remain for less-privileged students.
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Carrie L. Shandra, State University of New York at Stony Brook
E-mail: Carrie.Shandra@stonybrook.edu.

Acknowledgments: This research was funded by a Presidential Grant and a Visiting Scholar award from the Russell Sage Foundation. Assistance with data acquisition and support was received from Ellen Stolzenberg and the Higher Education Research Institute. This study benefited from conversations with Sarah Damaske, Jessica Halliday Hardie, Dara Shifrer, Angela Frederick, Rachel Fish, Jennifer Pearson, and Linda Blum. All errors are my own.


Supplemental Materials

Reproducibility Package: This article uses proprietary data from the Higher Education Research Institute. Code used for data processing and analysis is available at https://osf.io/n39h2.


  • Citation: Shandra, Carrie L. 2026. “More Common, Less Equal: Disparities in College Internship Participation Over Time” Sociological Science 13:476-500.
  • Received: February 11, 2026
  • Accepted: March 2, 2026
  • Editors: Ari Adut, Cristobal Young
  • DOI: 10.15195/v13.a19


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Is College Really “the” Equalizer? New Evidence Addressing Unobserved Selection

Haowen Zheng, Robert Andersen, Anders Holm, Kristian Bernt Karlson

Sociological Science March 3, 2026
10.15195/v13.a10


Influential research shows that college graduates achieve similar labor market outcomes regardless of socioeconomic origin, leading to the view that a college degree is a “great equalizer.” Still, other evidence suggests that family background continues to shape labor market outcomes long after graduation, implying that college’s equalizing effect may largely reflect the characteristics of those who pursue higher education. However, the role of unobserved selection into college has rarely been examined. After formally illustrating how this unobserved selection can bias estimates of the college effect, we present new analyses that correct for this bias using an instrumental-variable approach on white male respondents in the 1979 cohort of the National Longitudinal Survey of Youth. The selection-corrected results suggest that intergenerational mobility is similar among college graduates and nongraduates. Although college yields substantial returns for all, these returns do not differ by family background. We conclude that for higher education to serve as a true equalizer, it must become both less selective and more accessible to students from disadvantaged backgrounds.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Haowen Zheng: Stone Center for Inequality Dynamics, University of Michigan.
E-mail: zhenghw@umich.edu

Robert Andersen: Ivey Business School, Western University.
E-mail: bob.andersen@ivey.ca

Anders Holm: Department of Sociology, Western University.
E-mail: aholm@uwo.ca

Kristian Bernt Karlson: Department of Sociology, University of Copenhagen.
E-mail: kbk@soc.ku.dk

Acknowledgments: The authors thank Richard Breen, Wenhao Jiang, Robert Manduca, Kim Weeden, Ang Yu, and participants at PAA 2025, the Sociological Science 2025 Conference, and ASA 2025 for their helpful comments and support. This research was conducted with restricted access to Bureau of Labor Statistics (BLS) data. We thank the staff at BLS and NORC at the University of Chicago for their assistance with accessing restricted data. The views expressed here do not necessarily reflect the views of the BLS.

Supplemental Materials

Reproducibility Package: A replication package is available at https://osf.io/ne23f/. It includes all code used for data cleaning and analysis as well as a cleaned data set derived from the public-use NLSY79 data. Part of the analysis relies on restricted geographic data obtained through a data contract with the BLS (see https://www.bls.gov/nls/request-restricted-data/nlsy-geocode-data.htm). This is not included in the replication package but can be accessed through a BLS application. The instrumental variables were drawn from the replication package of Carneiro, Heckman, and Vytlacil (2011) (see https://www.openicpsr.org/openicpsr/project/112467/ version/V1/view).

  • Citation: Zheng, Haowen, Robert Andersen, Anders Holm, and Kristian Bernt Karlson. 2026. “Is College Really “the” Equalizer? New Evidence Addressing Unobserved Selection” Sociological Science 13: 242-272.
  • Received: October 6, 2025
  • Accepted: December 12, 2025
  • Editors: Arnout van de Rijt, Jeremy Freese
  • DOI: 10.15195/v13.a10

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Early Childhood Investments and Women’s Work Outcomes across the Life Course

Vida Maralani, Camille Portier, Berkay Özcan

Sociological Science February 24, 2026
10.15195/v13.a9


This study investigates variability in women’s experiences balancing work and family, focusing on the association between early childhood investments and work trajectories. Using longitudinal data and event study models, we examine work participation from two years before to 10 years after first birth across different early childhood investment levels. Although sustained intensive investment is associated with the largest reduction in paid work, the relationship between child investment and work outcomes does not follow a simple “more investment, less work” pattern. Instead, investment intensity and duration both shape work trajectories. Women with more intensive short-term practices or moderate longer-term ones work at similar levels as women making lower investments. Patterns also differ by work outcome: not working is most differentiated by sustained intensive child investment, whereas hours worked are similar across a range of investment levels. Finally, women with constrained family resources consistently work more than those married to college-educated spouses.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Vida Maralani: Cornell University.
E-mail: vida.maralani@cornell.edu.

Camille Portier: European University Institute.
E-mail: camille.portier@eui.eu.

Berkay Özcan: New York University Abu Dhabi.
E-mail: berkay.ozcan@nyu.edu.

Acknowledgments: We thank Isadora Milanez, Douglas McKee, Douglas Miller, Samuel Stabler, Kim Weeden, Kelly Musick, Patrick Ishizuka, Stephen Jenkins, Peter Rich, Lucinda Platt, Seth Sanders, Duncan Thomas, Zhipeng Zhou, and Alvaro Padilla Pozo for their valuable feedback and support on this project. We are grateful for research support from the Cornell Center on the Study of Inequality. After completing the study and drafting this manuscript, we used ChatGPT (OpenAI) to check grammar and clarity in several sections of dense prose.

Supplemental Materials

Reproducibility Package: Replication code for this article can be accessed here: https://osf.io/j8ymw/overview.

  • Citation: Maralani, Vida, Camille Portier, and Berkay Özcan. 2026. “Early Childhood Investments and Women’s Work Outcomes across the Life Course” Sociolog- ical Science 13: 214-241.
  • Received: August 31, 2025
  • Accepted: January 13, 2026
  • Editors: Ari Adut, Maria Abascal
  • DOI: 10.15195/v13.a9

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Force of Attraction and Partner Availability in the U.S. Marriage Market: A Two-Sided Matching Model

Yuan Cheng, John K. Dagsvik, Xuehui Han, Zhiyang Jia

Sociological Science February 17, 2026
10.15195/v13.a8


This article develops and applies a stochastic two-sided matching model to analyze marriage patterns in the United States using 1 percent samples from the 2010 and 2019 American Community Survey, accessed via the Integrated Public Use Microdata Series. This approach disentangles two sources of change in marriage patterns over time: individuals’ preferences for partner characteristics (“forces of attraction”) and the numbers and composition of potential partners (“partner availability”). As illustrated by our empirical application, the model provides a flexible and unified analytical framework to address a broad range of relevant questions in marriage research, offering valuable new perspectives on marriage dynamics and facilitating future research, despite the limitation that the model does not separately identify individual-specific preferences.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Yuan Cheng: Population Research Institute, Fudan University.
E-mail: chengyuan@fudan.edu.cn.

John K. Dagsvik: Research Department, Statistics Norway.
E-mail: john.dagsvik@ssb.no.

Xuehui Han: Asia and Pacific Department, International Monetary Fund.
E-mail: XHan@imf.org.

Zhiyang Jia: Research Department, Statistics Norway.
E-mail: Zhiyang.Jia@ssb.no.

Acknowledgments: We are grateful to the editor, Professor Arnout van de Rijt, and the deputy editor for their constructive comments that significantly improved our analysis. We also thank Zhenchao Qian, participants of the sociology research seminar at The Ohio State University, and graduate students in the Labor Economics course at Fudan University for their valuable feedback. We extend special thanks to Xizhe Peng for his continued support and facilitation of this project. The views expressed in this article are those of the authors and do not necessarily represent the views or policies of the International Monetary Fund or Statistics Norway. Any remaining errors are our own.

  • Citation: Cheng, Yuan, John K. Dagsvik, Xuehui Han, and Zhiyang Jia. 2026. “Force of Attraction and Partner Availability in the U.S. Marriage Market: A Two-Sided Matching Model” Sociological Science 13: 178-213.
  • Received: November 22, 2025
  • Accepted: January 12, 2026
  • Editors: Arnout van de Rijt, Michael Rosenfeld
  • DOI: 10.15195/v13.a8

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The Faith Factor. How Scholars’ Religiosity Biases Research Findings on Secularization

Valeria Rainero, Jörg Stolz, Ruud Luijkx

Sociological Science February 10, 2026
10.15195/v13.a7


Secularization is one of the most debated areas of research in current sociology of religion. Despite hundreds of empirical studies, researchers do not even agree on the very existence of secularization in different parts of the world. This article investigates whether some of the variability in findings may be attributed not to the social reality investigated but to bias in the form of researchers’ own religiosity. Specifically, we test whether researchers’ religiosity is correlated with two outcomes: their personal belief in the secularization thesis and the likelihood of supporting secularization in their published articles. To address this question, we constructed an international database of scholars working on secularization and conducted a survey measuring their religiosity and beliefs about religious decline. We then coded their publications according to whether they supported the secularization thesis and linked the two data sets. We find significant evidence of a “(non-)religious bias.” Either in their private attitudes or public writings, religious researchers find less evidence for the secularization thesis, whereas secular scholars find more. This result cannot be explained by differences in research methods, study quality, or the religious and geographic contexts under investigation.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Valeria Rainero: Department of Sociology and Social Research, University of Trento.
E-mail: valeria.rainero@unitn.it.

Jörg Stolz: Institute for Social Sciences of Religion, University of Lausanne.
E-mail: joerg.stolz@unil.ch.

Ruud Luijkx: Department of Sociology, Tilburg University & Department of Sociology and Social Research, University of Trento.
E-mail: r.luijkx@uvt.nl.

Acknowledgments: We sincerely thank everyone who provided valuable comments and suggestions during presentations of this article at the University of Milan (2023), the SSSR Conference in Pittsburgh (2024), and the Institute for Social Sciences of Religions at the University of Lausanne (2024). We also wish to thank Eduard Ponarin and Dominik Balazka for their contributions to the earlier version of the research design and Jeremy Senn for conducting the inter-coder reliability test.

Supplemental Materials

Reproducibility Package: A replication package with instructions, data, and STATA code is publicly available on the Open Science Framework (OSF): https://osf.io/vcxnk/.

  • Citation: Rainero, Valeria, Jörg Stolz, and Ruud Luijkx. 2026. “The Faith Factor. How Scholars’ Religiosity Biases Research Find- ings on Secularization” Sociological Science 13: 154-177.
  • Received: October 30, 2025
  • Accepted: December 16, 2025
  • Editors: Arnout van de Rijt, Andreas Wimmer
  • DOI: 10.15195/v13.a7

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Poor Neighborhoods, Bad Schools? A High-Dimensional Model of Place-Based Disparities in Academic Achievement

Geoffrey T. Wodtke, Kailey White, Xiang Zhou

Sociological Science February 6, 2026
10.15195/v13.a6


Persistent disparities in academic achievement between students from high- and low- poverty neighborhoods are widely attributed to differences in school quality. Using nationally representative data from more than 18,000 students and nearly 1,000 elementary schools, we examine how the schools serving students from different neighborhoods vary across more than 160 characteristics, including detailed measures of their composition, resources, instruction, climate, and effectiveness. Our findings document significant differences in demographic composition between schools serving high- and low-poverty neighborhoods but comparatively little variation in other dimensions of the school environment. With novel machine learning methods tailored for high-dimensional data, we estimate that equalizing all these different factors would reduce the achievement gap by less than 10 percent, primarily through changes in school composition. These results suggest that the main drivers of place-based disparities in achievement lie outside of elementary schools, underscoring the need to address broader structural inequalities as part of any effort to reduce achievement gaps.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Geoffrey T. Wodtke: Department of Sociology, University of Chicago.
E-mail: wodtke@uchicago.edu.

Kailey White: Crime Lab and Education Lab, University of Chicago.
E-mail: kwhite10@uchicago.edu.

Xiang Zhou: Department of Sociology, Harvard University.
E-mail: xiang_zhou@fas.harvard.edu.

Acknowledgments: The authors thank Steve Raudenbush, Guanglei Hong, Ariel Kalil, Steven Durlauf, Eric Grodsky, and Lucienne Disch for helpful comments and discussions. This project was supported by a grant from the U.S. National Science Foundation (No. 2015613) and by the James M. and Cathleen D. Stone Foundation. We used Chat- GPT, version 4o, for help with copyediting the manuscript and debugging R scripts. Responsibility for all content rests solely with the authors.

Supplemental Materials

Reproducibility Package: Code and instructions for accessing the data necessary to reproduce the results presented in this article are available at https://doi.org/10.5281/zenodo.17634676.

  • Citation: Wodtke, T. Geoffrey, Kailey White, and Xiang Zhou. 2026. “Poor Neighborhoods, Bad Schools? A High-Dimensional Model of Place-Based Disparities in Academic Achievement” Sociological Science 13: 109-153.
  • Received: September 8, 2025
  • Accepted: December 12, 2025
  • Editors: Arnout van de Rijt, Jeremy Freese
  • DOI: 10.15195/v13.a6

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How Measurement Changes Can Exaggerate the Growth of Religious “Nones”

Matthew Conrad, Conrad Hackett

Sociological Science February 3, 2026
10.15195/v13.a5


Academic and popular interest in nonreligion has risen in parallel with the growth of religiously unaffiliated populations. In many countries, census and survey questions used to measure religion have been modified to better capture nonreligious identities. Little attention has been given to how these changes in measures affect specific claims about the rise of the “nones.” Although there is no doubt that religiously unaffiliated populations have grown in many countries during the twenty- first century, the degree of such growth has sometimes been exaggerated due to measurement effects. We review methodological issues that affect the estimates of the size of religiously unaffiliated populations and their change over time. We call for further study to quantify the effect of these changes.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Matthew Conrad: Department of Anthropology, University of Connecticut.
E-mail: matthew.conrad@uconn.edu.

Conrad Hackett: Pew Research Center, University of Maryland.
E-mail: chackett@pewresearch.org.

Acknowledgments: We are grateful for helpful feedback from Philip Brenner, Ryan Cragun, Ariela Keysar, Courtney Kennedy, Andrew Mercer, and David Voas. Many people contributed to our broader project of measuring religious change, including Marcin Stonawski, Yunping Tong, Stephanie Kramer, Anne Shi, Alan Cooperman, Joanna Sikorska, and Caileigh Stirling. Support for this work came from The Pew Charitable Trusts and the John Templeton Foundation (grant 62287).

Reproducibility Package: A package is available on the Open Science Framework (https://osf.io/93exg/) that contains data and R code to reproduce the results in this article, as well as links to the full data sets.

  • Citation: Conrad, Matthew, and Conrad Hackett. 2025. “How Measurement Changes Can Exaggerate the Growth of Religious “Nones”” Sociological Sci- ence 13: 89-108.
  • Received: September 15, 2025
  • Accepted: November 14, 2025
  • Editors: Ari Adut, Cristobal Young
  • DOI: 10.15195/v13.a5

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