race-writing-computation
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (2.2%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: amanda-y-su
- Language: R
- Default Branch: master
- Size: 6.61 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
"Race, Writing, and Computation: Racial Difference and the US Novel, 1880-2000" — Replication and Extension
So, Long, and Zhu (2019) determine that black writers who cite the Bible are more likely to cite it in a social context compared to white writers who cite the Bible in their novels. I was able to successfully replicate the results of their paper. I extended upon their resarch by reconstructing the paper's primary model using a Bayesian approach. I found that the results of the model were largely the same the as that of the original, proving that the original results are even more robust than authors initially claimed. This corroborates and strengthens their conclusions about how race and writing intersect across more than a century of U.S. fiction.
Owner
- Name: Amanda Su
- Login: amanda-y-su
- Kind: user
- Location: Cambridge, MA
- Website: amanda-su.com
- Twitter: amandaysu
- Repositories: 1
- Profile: https://github.com/amanda-y-su
Junior at Harvard College studying History & Literature
Citation (citation.bib)
@Article{racial,
title = {Race, Writing, and Computation: Racial Difference and the US Novel, 1880-2000},
author = {Richard Jean So and Hoyt Long and Yuancheng Zhu},
publisher = {Journal of Cultural Analytics},
year = {2019}
}
@Book{weapons,
title = {Weapons of Math Destruction},
author = {Cathy O’Neil},
publisher = {Crown},
location = {New York},
year = {2016}
}
@Book{algorithms,
title = {Algorithms of Oppression},
author = {Safiya Noble},
publisher = {NYU Press},
location = {New York},
year = {2018}
}
@Book{bible,
title = {The Great Code: The Bible and Literature},
author = {Northrop Frye},
publisher = {New York},
location = {Harcourt Brace Jovanovich},
pages = {217-221},
year = {1982}
}
@Book{idiom,
title = {Religious Idiom and the African American Novel, 1952-1998},
author = {Tuire Valkeakari},
publisher = {University of Florida Press},
location = {Gainsville, FL},
year = {2007},
pages = {29}
}
@Book{romantic,
title = {Origins of Narrative: The Romantic Appropriation of the Bible},
author = {Stephen Prickett},
publisher = {University of Florida Press},
location = {Cambridge University Press},
year = {1996},
pages = {35}
}
@Article{statistical,
title = {Making the Most of Statistical Analyses: Improving Interpretation and Presentation},
author = {Gary King and Michael Tomz and Jason Wittenberg},
publisher = {American Journal of Political Science},
volume = {44},
number = {2},
pages = {347-361},
year = {2000}
}
@Manual{R,
title = {The R Project for Statistical Computing},
author = {"The R Foundation},
year = {2020},
url = {https://www.r-project.org/},
}
@Manual{rstanarm,
title = {rstanarm},
author = {Jonah Gabry and Ben Goodrich},
year = {2020},
url = {https://mc-stan.org/rstanarm/index.html},
}
@data{data,
author = {Richard Jean So and Hoyt Long and Yuancheng Zhu},
publisher = {Harvard Dataverse},
title = {{Replication Data for: Race, Writing, and Computation: Racial Difference and the US Novel, 1880-2000}},
year = {2019},
version = {V1},
doi = {10.7910/DVN/6ANTB8},
url = {https://doi.org/10.7910/DVN/6ANTB8}
}