- Jan 2023
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www.complexityexplorer.org www.complexityexplorer.org
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https://www.youtube.com/watch?v=HwkRfN-7UWI
Seven Principles of Data Feminism
- Examine power
- Challenge power
- Rethink binaries and hierarchies
- Elevate emotion an embodiment
- Embrace pluralism
- Consider context
- Make labor visible
Abolitionist movement
There are some interesting analogies to be drawn between the abolitionist movement in the 1800s and modern day movements like abolition of police and racial justice, etc.
Topic modeling - What would topic modeling look like for corpuses of commonplace books? Over time?
wrt article: Soni, Sandeep, Lauren F. Klein, and Jacob Eisenstein. “Abolitionist Networks: Modeling Language Change in Nineteenth-Century Activist Newspapers.” Journal of Cultural Analytics 6, no. 1 (January 18, 2021). https://doi.org/10.22148/001c.18841. - Brings to mind the difference in power and invisible labor between literate societies and oral societies. It's easier to erase oral cultures with the overwhelm available to literate cultures because the former are harder to see.
How to find unbiased datasets to study these?
aspirational abolitionism driven by African Americans in the 1800s over and above (basic) abolitionism
Tags
- power frameworks
- Lauren F. Klein
- operationalization
- slavery
- topic modeling
- invisible labor
- data science
- watch
- abolitionists
- defunding police
- emotional labor
- dodging the memory hole
- aspirational abolitionism
- Catherine D'Ignazio
- algorithms
- orality vs. literacy
- intersectional feminism
- Data Feminism
Annotators
URL
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- Apr 2020
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lnakamur.files.wordpress.com lnakamur.files.wordpress.com
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8 1 Social Text 141• December 2019Precarity Lab · Digital Precarity Manifestofemale and nonwhite labor, all linked to one another across time and space by bonds of capital, material object production, and social reproduction. Theories of network cultures celebrate the new connectivity afforded by digital technology and attempt to erase the chains it puts in place. These chains pull some people up, yet weigh down so many others.
continued from above - invisible labor - chains.
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This labor has always been visible in the same way that the people who do this labor have been: in plain sight but undervalued. If we pay attention to “invisible labor,” we see not a network of actors or artifacts but, rather, a chain: a supply chain, a blockchain, a chain of
invisible labor - opposition to - refusal to see what's in plain sight - connected across time and space.
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