Welcome! This repository includes the data and code needed to reproduce the analyses and figures in the paper "Situated Knowledges and Partial Perspectives: A Framework for Radical Objectivity in Computational Social Science and Computational Humanities", published in New Literary History in June 2023.
Published paper here: https://muse.jhu.edu/article/898331
Open version here: https://www.lauraknelson.com/publication/radical-objectivity/
To run this code you will need:
Python
The Python libraries gensin, pandas, numpy, sklearn, matplotlib, and seaborn
Jupyter
**** See the requirements.txt file for specific versions of the libraries used ****
The data file (in the data folder) contains a word2vec model trained on the collections "First Person Narratives of the American South" and "North American Slave Narratives", from the library Documenting the American South, housed at Duke University.
A copy of the raw data can be found here: https://github.com/lknelson/measuring_intersectionality/tree/main/data
The code that generated the word2vec model (word2vec_all_clean.txt) can be found here: https://github.com/lknelson/measuring_intersectionality
Happy coding!