The accidental ethnographers : race, recording technology, and nature in modern Latin American fiction

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Abstract/Contents

Abstract
My dissertation, "The Accidental Ethnographers: Race, Recording Technology, and Nature in Modern Latin American Fiction, " examines how fictional works of early 20th century Cuban, Colombian, and Brazilian criollo authors were shaped by these authors' use of recording technologies in their ethnographic endeavors. I show that the process of perceiving the world through cameras and tape recorders, and interacting with unfamiliar places, cultures, and cosmologies, prompted these authors to incorporate Afro-descendant and indigenous worldviews in their texts. These fictional texts enable the conception of a reality that does not necessarily subscribe to the anthropocentric division between human culture and the natural world, commonly found in 19th-century literary naturalism. With this research, I participate in contemporary debates on technology's impact on literature and, by extension, the role of technology in defining Latin American fiction.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2022; ©2022
Publication date 2022; 2022
Issuance monographic
Language English

Creators/Contributors

Author Hernandez, Daniel
Degree supervisor Hoyos Ayala, Héctor
Thesis advisor Hoyos Ayala, Héctor
Thesis advisor Barletta, Vincent
Thesis advisor Briceño, Ximena
Degree committee member Barletta, Vincent
Degree committee member Briceño, Ximena
Associated with Stanford University, Department of Iberian and Latin American Culture

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Daniel Hernández Guzmán.
Note Submitted to the Department of Iberian and Latin American Culture.
Thesis Thesis Ph.D. Stanford University 2022.
Location https://purl.stanford.edu/hb582hj0242

Access conditions

Copyright
© 2022 by Daniel Hernandez
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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