Indigenous Inclusion/Black Exclusion: Race, Ethnicity and Multicultural Citizenship in Latin America

  • Citation: Hooker, Juliet. Indigenous Inclusion/Black Exclusion: Race, Ethnicity and Multicultural Citizenship in Latin America. Journal of Latin American Studies 37 (2005): 285-310.
    • Topics:
    • Movements for Inclusion
    • Keywords:
    • South America
    • Indigenous people
    • collective rights
    • Afro-Latin groups
    • discrimination
    • inclusion

This article analyses the causes of the disparity in collective rights gained by indigenous and Afro-Latin groups in recent rounds of multicultural citizenship reform in Latin America. Instead of attributing the greater success of indians in winning collective rights to differences in population size, higher levels of indigenous group identity or higher levels of organisation of the indigenous movement, it is argued that the main cause of the disparity is the fact that collective rights are adjudicated on the basis of possessing a distinct group identity defined in cultural or ethnic terms. Indians are generally better positioned than most Afro-Latinos to claim ethnic group identities separate from the national culture and have therefore been more successful in winning collective rights. It is suggested that one of the potentially negative consequences of basing group rights on the assertion of cultural difference is that it might lead indigenous groups and Afro-Latinos to privilege issues of cultural recognition over questions of racial discrimination as bases for political mobilisation in the era of multicultural politics.

Related Resource

  • Criminal Justice, Artificial Intelligence Systems, and Human Rights

    Završnik, Aleš. “Criminal Justice, Artificial Intelligence Systems, and Human Rights.” ERA Forum 20, no. 4 (March 1, 2020): 567–83.

    • Authors with Diverse Backgrounds
    Keywords: Criminal Justice, Human Rights, Automation, Algorithms, Artificial Intelligence, Fair Trial
  • Racial, Skin Tone, and Sex Disparities in Automated Proctoring Software

    Yoder-Himes, Deborah R., Alina Asif, Kaelin Kinney, Tiffany J. Brandt, Rhiannon E. Cecil, Paul R. Himes, Cara Cashon, Rachel M. P. Hopp, and Edna Ross. “Racial, Skin Tone, and Sex Disparities in Automated Proctoring Software.” Frontiers in Education 7 (September 20, 2022).

    • Authors with Diverse Backgrounds