Mixed Race Studies

Context-dependence of race self-classification: Results from a highly mixed and unequal middle-income country

PLOS ONE
2019-05-16
DOI: 10.1371/journal.pone.0216653

Dóra Chor
Department of Epidemiology and Quantitative Methods
National School of Public Health
Oswaldo Cruz Foundation, Rio de Janeiro, RJ, Brazil

Alexandre Pereira
Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor)
University of São Paulo, São Paulo, SP, Brazil

Antonio G. Pacheco
Scientific Computing Program
Oswaldo Cruz Foundation, Rio de Janeiro, RJ Brazil

Ricardo V. Santos
Department of Epidemiology and Quantitative Methods
National School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, Brazil
Department of Anthropology, Museu Nacional, Rio de Janeiro, RJ Brazil

Maria J. M. Fonseca
Department of Epidemiology and Quantitative Methods
National School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, Brazil

Maria I. Schmidt
Postgraduate Program in Epidemiology, School of Medicine
Federal University of Rio Grande do Sul, Porto Alegre, RS Brazil

Bruce B. Duncan
Postgraduate Program in Epidemiology, School of Medicine
Federal University of Rio Grande do Sul, Porto Alegre, RS Brazil

Sandhi M. Barreto, Faculty of Medicine & Clinical Hospital
Federal University of Minas Gerais, Belo Horizonte, MG Brazil

Estela M. L. Aquino
Institute of Collective Health
Federal University of Bahia, Salvador, BA Brazil

José G. Mill
Department of Physiological Sciences
Federal University of Espirito Santo, Vitória, ES Brazil

Maria delCB Molina
Department of Physiological Science
Federal University of Espirito Santo, Vitória, ES Brazil

Luana Giatti, Faculty of Medicine & Clinical Hospital
Federal University of Minas Gerais, Belo Horizonte, MG Brazil

Maria daCC Almeida
Gonçalo Muniz Institute, Oswaldo Cruz Foundation, Salvador, BA Brazil

Isabela Bensenor
Center for Clinical and Epidemiological Research, University Hospital
University of São Paulo, São Paulo, SP Brazil

Paulo A. Lotufo
Center for Clinical and Epidemiological Research
University Hospital, University of São Paulo, São Paulo, SP Brazil

Ethnic-racial classification criteria are widely recognized to vary according to historical, cultural and political contexts. In Brazil, the strong influence of individual socio-economic factors on race/colour self-classification is well known. With the expansion of genomic technologies, the use of genomic ancestry has been suggested as a substitute for classification procedures such as self-declaring race, as if they represented the same concept. We investigated the association between genomic ancestry, the racial composition of census tracts and individual socioeconomic factors and self-declared race/colour in a cohort of 15,105 Brazilians. Results show that the probability of self-declaring as black or brown increases according to the proportion of African ancestry and varies widely among cities. In Porto Alegre, where most of the population is white, with every 10% increase in the proportion of African ancestry, the odds of self-declaring as black increased 14 times (95%CI 6.08–32.81). In Salvador, where most of the population is black or brown, that increase was of 3.98 times (95%CI 2.96–5.35). The racial composition of the area of residence was also associated with the probability of self-declaring as black or brown. Every 10% increase in the proportion of black and brown inhabitants in the residential census tract increased the odds of self-declaring as black by 1.33 times (95%CI 1.24–1.42). Ancestry alone does not explain self-declared race/colour. An emphasis on multiple situational contexts (both individual and collective) provides a more comprehensive framework for the study of the predictors of self-declared race/colour, a highly relevant construct in many different scenarios, such as public policy, sociology and medicine.

Read the entire article here.

How States Make Race: New Evidence from BrazilHow States Make Race: New Evidence from Brazil

Sociological Science
Volume 5, (2018-11-26)
pages 722-751
DOI: 10.15195/v5.a31

Stanley R. Bailey, Professor of Sociology
University of California, Irvine

Fabrício M. Fialho, Postdoctoral Researcher
Centre de Recherches Internationales, Sciences Po Paris, France

Mara Loveman, Professor of Sociology
University of California, Berkeley

The Brazilian state recently adopted unprecedented race-targeted affirmative action in government hiring and university admissions. Scholarship would predict the state’s institutionalization of racial categories has “race-making” effects. In this article, we ask whether the Brazilian state’s policy turnabout has affected racial subjectivities on the ground, specifically toward mirroring the categories used by the state. To answer, we conceptualize race as multidimensional and leverage two of its dimensions—lay identification and government classification (via open-ended and closed-ended questions, respectively)—to introduce a new metric of state race-making: a comparison of the extent of alignment between lay and government dimensions across time. Logistic regression on large-sample survey data from before the policy turn (1995) and well after its diffusion (2008) reveals an increased use of state categories as respondents’ lay identification in the direction of matching respondents’ government classification. We conclude that the Brazilian state is making race but not from scratch nor in ways that are fully intended.

Read the entire article here.

Racial Intermarriage in the Americas

Sociological Science
Volume 6, (2019-04-23)
pages 293-320
DOI: 10.15195/v6.a12

Edward Telles, Professor of Sociology
University of California, Santa Barbara

Albert Esteve, Director and Adjunct Professor (Department of Geography)
Centre d’Estudis Demogràfics
Universitat Autònoma de Barcelona

We compare intermarriage in Brazil, Cuba, and the United States among the black, white, and mixed-race population using log-linear models with data from newly available anonymized and harmonized individual census microdata for the 2000 round of censuses. We find that black–white intermarriage is 105 times as likely in Brazil and 28 times as likely in Cuba compared to the United States; that Brazilian mulatos are four times as likely to marry whites than blacks, but Cuban mulatos are equally likely to marry whites and blacks; and negative educational gradients for black–white intermarriage for Cuba and Brazil but nonexistent or positive gradients in the United States. We propose a theory of intergenerational mixture and intermarriage and discuss implications for the role of preferences versus structure, universalism and education, and mulato escape-hatch theory.

Read the entire article here.