- Feb 2023
Kawakatsu et al. (1) make an important ad-vance in the quest for this kind of understanding, pro-viding a general model for how subtle differences inindividual-level decision-making can lead to hard-to-miss consequences for society as a whole.Their work (1) reveals two distinct regimes—oneegalitarian, one hierarchical—that emerge fromshifts in individual-level judgment. These lead to sta-tistical methods that researchers can use to reverseengineer observed hierarchies, and understand howsignaling systems work when prestige and power arein play.
M. Kawakatsu, P. S. Chodrow, N. Eikmeier, D. B. Larremore, Emergence of hierarchy in networked endorsement dynamics. Proc. Natl. Acad. Sci. U.S.A. 118, e2015188118 (2021)
This may be of interest to Jerry Michalski et al.
- Jan 2023
3.1 Guest Lecture: Lauren Klein » Q&A on "What is Feminist Data Science?"<br /> https://www.complexityexplorer.org/courses/162-foundations-applications-of-humanities-analytics/segments/15631
Theories of Power
Patricia Hill Collins' matrix of domination - no hierarchy, thus the matrix format
What are other broad theories of power? are there schools?
Relationship to Mary Parker Follett's work?
Bright, Liam Kofi, Daniel Malinsky, and Morgan Thompson. “Causally Interpreting Intersectionality Theory.” Philosophy of Science 83, no. 1 (January 2016): 60–81. https://doi.org/10.1086/684173.
about Bayesian modeling for intersectionality
Where is Foucault in all this? Klein may have references, as I've not got the context.
How do words index action? —Laura Klein
The power to shape discourse and choose words - relationship to soft power - linguistic memes
Color Conventions Project
20:15 Word embeddings as a method within her research
General result (outside of the proximal research) discussed: women are more likely to change language... references for this?
[[academic research skills]]: It's important to be aware of the current discussions within one's field. (LK)
36:36 quantitative imperialism is not the goal of humanities analytics, lived experiences are incredibly important as well. (DK)
- Lauren F. Klein
- Patricia Hill Collins
- digital humanities
- Mary Parker Follett
- Michel Foucault
- feminist data science
- matrix of domination
- Foundations & Applications of Humanities Analytics
- power frameworks
Seven Principles of Data Feminism
- Examine power
- Challenge power
- Rethink binaries and hierarchies
- Elevate emotion an embodiment
- Embrace pluralism
- Consider context
- Make labor visible
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
- Lauren F. Klein
- intersectional feminism
- defunding police
- aspirational abolitionism
- Data Feminism
- Catherine D'Ignazio
- dodging the memory hole
- invisible labor
- emotional labor
- orality vs. literacy
- topic modeling
- data science
- power frameworks