Automation Is a Myth
(eBook)

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Published
Stanford University Press, 2022.
Format
eBook
Language
English
ISBN
9781503631434

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APA Citation, 7th Edition (style guide)

Luke Munn., & Luke Munn|AUTHOR. (2022). Automation Is a Myth . Stanford University Press.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Luke Munn and Luke Munn|AUTHOR. 2022. Automation Is a Myth. Stanford University Press.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Luke Munn and Luke Munn|AUTHOR. Automation Is a Myth Stanford University Press, 2022.

MLA Citation, 9th Edition (style guide)

Luke Munn, and Luke Munn|AUTHOR. Automation Is a Myth Stanford University Press, 2022.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouped Work ID1d075c2d-64ac-4c76-4aec-2d7c57bf1e3d-eng
Full titleautomation is a myth
Authormunn luke
Grouping Categorybook
Last Update2023-09-02 20:03:29PM
Last Indexed2024-04-27 02:33:34AM

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Image Sourcecoce_google_books
First LoadedJan 27, 2023
Last UsedApr 26, 2023

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    [synopsis] => For some, automation will usher in a labor-free utopia, for others, it signals a disastrous age-to-come. Yet whether seen as dream or nightmare, automation, argues Munn, is ultimately a fable that rests on a set of triple fictions. There is the myth of full autonomy, claiming that machines will take over production and supplant humans. But far from being self-acting, technical solutions are piecemeal, their support and maintenance reveals the immense human labor behind "autonomous" processes. There is the myth of universal automation, with technologies framed as a desituated force sweeping the globe. But this fiction ignores the social, cultural, and geographical forces that shape technologies at a local level. And, there is the myth of automating everyone, the generic figure of "the human" at the heart of automation claims. But labor is socially stratified and so automation's fallout will be highly uneven, falling heavier on some (immigrants, people of color, women) than others. Munn moves from machine minders in China to warehouse pickers in the United States to explore the ways that new technologies do (and don't) reconfigure labor. Combining this rich array of human stories with insights from media and cultural studies, Munn points to a more nuanced, localized, and racialized understanding of the "future of work."
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