Last Modified

• August 31, 2020

Creator

• Henley, Amanda
  • ORCID: https://orcid.org/0000-0002-5269-2630
  • Affiliation: University of North Carolina at Chapel Hill. Library
• Jansen, Matt
  • ORCID: https://orcid.org/0000-0002-1594-8377
  • Affiliation: University of North Carolina at Chapel Hill. Library
• Bruckner, Lorin
  • Affiliation: University of North Carolina at Chapel Hill. Library
• Byers, Neil
  • Affiliation: University of North Carolina at Chapel Hill. Library
• Dalwadi, Rucha
  • Affiliation: University of North Carolina at Chapel Hill. Library

Abstract

• This white paper describes the methods and workflows used to create two corpora: one comprised of all North Carolina session laws from 1866/67-1967, and the other comprised of Jim Crow laws from that period identified by scholars and machine learning. The text analysis methods used to identify the Jim Crow laws are also explained.

Date of publication

• August 31, 2020

DOI

• https://doi.org/10.17615/hvz4-sr14

Resource type

• Other

Rights statement

• In Copyright

Language

• English

Parents:

This work has no parents.

In Collection:

• On the Books: Jim Crow and Algorithms of Resistance

Items

Thumbnail	Title	Date Uploaded	Visibility	Actions
	OTB_White_Paper.pdf	2020-08-31	Public	Press to Select an action Download