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Indigenous People in the Brazilian Context: An Analysis of the Social Representations

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Computer Supported Qualitative Research (WCQR 2019)

Abstract

This study aims to find out about the social representations of the indigenous peoples in Brazil, taking into consideration the images and meanings shared by the non-indigenous population. The findings are based on the application of the free association test and interviews with 38 participants. The material was submitted to an analysis of content supported by the theory of social representations, with the help of Atlas.ti software. The analysis presented 475 excerpts from narratives, grouped into categories: indigenous conceptions; origin of knowledge; relationship between indigenous peoples and society. The free association resulted in 190 evocations, classified into: distinct subject, subject with rights, excluded subject, and valued subject. The representations about the indigenous peoples are anchored in previous knowledge that places them in a condition of the primitive subject. The distancing of the population reinforces stereotypes that subjugate the indigenous peoples. Knowledge demystifies stereotypes, making the indigenous peoples respected in their own culture and, at the same time, recognized as a subject with rights, just like any other citizen.

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Acknowledgements

This research was supported by the University of Fortaleza through the Call for Research 30/2017 of Support for Teams of Research and the bestowing of a scientific initiation grant to Samuel Figueredo Maia; there was also support from the Cearense Foundation for Support to Scientific and Technological Development (Funcap) through the granting of a doctoral scholarship to Sílvia Barbosa Correia.

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Correspondence to Luciana Maria Maia .

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Correia, S.B., Maia, L.M., Souza, L.E., Lima, T.J., Maia, S.F. (2020). Indigenous People in the Brazilian Context: An Analysis of the Social Representations. In: Costa, A., Reis, L., Moreira, A. (eds) Computer Supported Qualitative Research. WCQR 2019. Advances in Intelligent Systems and Computing, vol 1068. Springer, Cham. https://doi.org/10.1007/978-3-030-31787-4_12

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