IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0216653.html
   My bibliography  Save this article

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

Author

Listed:
  • Dóra Chor
  • Alexandre Pereira
  • Antonio G Pacheco
  • Ricardo V Santos
  • Maria J M Fonseca
  • Maria I Schmidt
  • Bruce B Duncan
  • Sandhi M Barreto
  • Estela M L Aquino
  • José G Mill
  • Maria delCB Molina
  • Luana Giatti
  • Maria daCC Almeida
  • Isabela Bensenor
  • Paulo A Lotufo

Abstract

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.

Suggested Citation

  • Dóra Chor & Alexandre Pereira & Antonio G Pacheco & Ricardo V Santos & Maria J M Fonseca & Maria I Schmidt & Bruce B Duncan & Sandhi M Barreto & Estela M L Aquino & José G Mill & Maria delCB Molina & , 2019. "Context-dependence of race self-classification: Results from a highly mixed and unequal middle-income country," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-17, May.
  • Handle: RePEc:plo:pone00:0216653
    DOI: 10.1371/journal.pone.0216653
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0216653
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0216653&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0216653?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Vítor Miranda, 2015. "A resurgence of black identity in Brazil? Evidence from an analysis of recent censuses," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 32(59), pages 1603-1630.
    2. Loveman, Mara, 2014. "National Colors: Racial Classification and the State in Latin America," OUP Catalogue, Oxford University Press, number 9780199337361.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rohini Somanathan, 2016. "Group Inequality in Democracies: Lessons from Cross-National Experiences," Working Papers id:11335, eSocialSciences.
    2. Andrew Francis-Tan & Zheng Mu, 2019. "Racial Revolution: Understanding the Resurgence of Ethnic Minority Identity in Modern China," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 38(5), pages 733-769, October.
    3. René Alejandro Rejón Piña & Chenglong Ma, 2023. "Classification Algorithm for Skin Color (CASCo): A new tool to measure skin color in social science research," Social Science Quarterly, Southwestern Social Science Association, vol. 104(2), pages 168-179, March.
    4. Milena Ang & Yuna Blajer de la Garza, 2021. "Vulnerability, due process, and reform in modern Mexico," Constitutional Political Economy, Springer, vol. 32(3), pages 346-375, September.
    5. Braulio Güémez & Patricio Solís, 2022. "Ethnoracial and Educational Homogamy in Mexico: A Multidimensional Perspective," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(6), pages 2331-2363, December.
    6. Nuno Palma & Jaime Reis & Mengtian Zhang, 2020. "Reconstruction of regional and national population using intermittent census-type data: The case of Portugal, 1527–1864," Historical Methods: A Journal of Quantitative and Interdisciplinary History, Taylor & Francis Journals, vol. 53(1), pages 11-27, January.
    7. Luis Monroy-Gómez-Franco & Roberto Vélez-Grajales, 2021. "Skin Tone Differences in Social Mobility in Mexico: Are We Forgetting Regional Variance?," Journal of Economics, Race, and Policy, Springer, vol. 4(4), pages 257-274, December.
    8. G. Reginald Daniel, 2022. "Multiracial Identities in the United States: Towards the Brazilian or South African Paths?," Social Sciences, MDPI, vol. 11(5), pages 1-24, May.
    9. Raymundo M. Campos-Vazquez & Eduardo M. Medina-Cortina, 2019. "Skin Color and Social Mobility: Evidence From Mexico," Demography, Springer;Population Association of America (PAA), vol. 56(1), pages 321-343, February.
    10. Santiago, Anderson Ribeiro & Zarate do Couto, Hilton Thadeu, 2022. "Sampling plan for socioeconomic development indicators in Brazil: practical implications when considering precision and cost," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    11. Yung, Vincent & Colyvas, Jeannette, 2023. "Munging the Ghosts in the Machine: Coded Bias and the Craft of Wrangling Archival Data," SocArXiv 2dve6, Center for Open Science.
    12. Telles, Edward E. & Bailey, Stanley R. & Davoudpour, Shahin & Freeman, Nicholas C., 2023. "Racial and ethnic inequality in Latin America," LSE Research Online Documents on Economics 120677, London School of Economics and Political Science, LSE Library.
    13. Jerônimo Muniz & Stanley R. Bailey, 2022. "Does race response shift impact racial inequality?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 47(30), pages 935-966.
    14. Telles, Edward E. & Bailey, Stanley R. & Davoudpour, Shahin & Freeman, Nicholas C., 2023. "Racial and Ethnic Inequality in Latin America," IDB Publications (Working Papers) 13195, Inter-American Development Bank.
    15. McNamee, Lachlan, 2019. "Indirect colonial rule and the salience of ethnicity," World Development, Elsevier, vol. 122(C), pages 142-156.
    16. Yasuko Takezawa & Stephen Small, 2022. "Theorizing People of Mixed Race in the Pacific and the Atlantic," Social Sciences, MDPI, vol. 11(3), pages 1-14, March.
    17. Stanley R. Bailey & Aliya Saperstein & Andrew Penner, 2014. "Race, color, and income inequality across the Americas," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 31(24), pages 735-756.
    18. Abigail Nieves Delgado & Jan Baedke, 2021. "Does the human microbiome tell us something about race?," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-12, December.
    19. Natasha Borges Sugiyama, 2022. "Inclusion amid ethnic inequality: Insights from Brazil's social protection system," WIDER Working Paper Series wp-2022-77, World Institute for Development Economic Research (UNU-WIDER).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0216653. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.