Race in the Machine
(eBook)

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Published:
[United States] : Stanford University Press, 2023.
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eBook
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1 online resource (286 pages)
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Description

An intelligent machine built to study methods of social warfare struggles to understand and communicate the lived experience of race In a narrative full of social significance and poetically decorated with monks, vampires, and mythical statistics, Race in the Machine presents a world where the stories we use to explain race all simultaneously exist, within and around us, dictating our interactions and innermost beliefs. The nameless protagonist, an enigmatic social mechanic at Nearbay Institute, living in a population of socially connected intelligent machines, encounters a simple query in the context of an introductory lecture: "What exactly is race? And what is it in the context of the social machine?" This prompt guides the protagonist along a twisting intellectual tale surrounding a series of experiments which explore: How many racists does it take to create systems of inequality? What role do non-racists actors play in upholding them? How is bias learned? How does it spread? The narrator develops a distinct understanding of race through the figurative bending of time, dreams of a "race code" and by confronting a series of mysterious communications that remain just outside comprehension. Over the course of this journey, the answers to important questions about racial inequality quietly emerge for the protagonist. Scholarly encounters with both antagonistic colleagues and unexpected allies, culminate when the hero is forced to reach a devastating conclusion about themself and the world. Stirring and luminous, Race in the Machine deftly oscillates between the allegorically simplified and the impossibly complex to weave an utterly unique and nuanced portrait of race in the modern world.

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Language:
English
ISBN:
9781503633650, 1503633659

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Description
An intelligent machine built to study methods of social warfare struggles to understand and communicate the lived experience of race In a narrative full of social significance and poetically decorated with monks, vampires, and mythical statistics, Race in the Machine presents a world where the stories we use to explain race all simultaneously exist, within and around us, dictating our interactions and innermost beliefs. The nameless protagonist, an enigmatic social mechanic at Nearbay Institute, living in a population of socially connected intelligent machines, encounters a simple query in the context of an introductory lecture: "What exactly is race? And what is it in the context of the social machine?" This prompt guides the protagonist along a twisting intellectual tale surrounding a series of experiments which explore: How many racists does it take to create systems of inequality? What role do non-racists actors play in upholding them? How is bias learned? How does it spread? The narrator develops a distinct understanding of race through the figurative bending of time, dreams of a "race code" and by confronting a series of mysterious communications that remain just outside comprehension. Over the course of this journey, the answers to important questions about racial inequality quietly emerge for the protagonist. Scholarly encounters with both antagonistic colleagues and unexpected allies, culminate when the hero is forced to reach a devastating conclusion about themself and the world. Stirring and luminous, Race in the Machine deftly oscillates between the allegorically simplified and the impossibly complex to weave an utterly unique and nuanced portrait of race in the modern world.
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Mode of access: World Wide Web.

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Citations

APA Citation (style guide)

Stewart, Q. T. (2023). Race in the Machine. [United States], Stanford University Press.

Chicago / Turabian - Author Date Citation (style guide)

Stewart, Quincy Thomas. 2023. Race in the Machine. [United States], Stanford University Press.

Chicago / Turabian - Humanities Citation (style guide)

Stewart, Quincy Thomas, Race in the Machine. [United States], Stanford University Press, 2023.

MLA Citation (style guide)

Stewart, Quincy Thomas. Race in the Machine. [United States], Stanford University Press, 2023.

Note! Citation formats are based on standards as of July 2022. Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy.

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dbc50599-84d2-45cc-7537-ad96092e45d8
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Hoopla Extract Information

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Record Information

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Last Grouped Work Modification TimeDec 02, 2024 10:24:25 PM

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