Session Laws Passed by the North Carolina General Assembly During 1866/67-1967, Identified by Machine Learning as Laws Likely to be Jim Crow Laws (plain text format, single file) version 2

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Last modified date
  • September 29, 2021
Creator
  • Bruckner, Lorin
    • Affiliation: University of North Carolina at Chapel Hill. University Libraries
  • Byers, Neil
  • Dalwadi, Rucha
  • Henley, Amanda
  • Jansen, Matt
  • Thomas, Kimber
  • Sturkey, William
    • Affiliation: College of Arts and Sciences, Department of History
Contributor
  • Estorino, María R.
  • Eck, Montana
  • Long, Julia
  • Mullikin, Ashley
  • Nallaparaju, Siri
  • Oyeleke, Tim
  • Patton, Jenna
Abstract
  • This corpus was created for a text analysis project called On the Books: Jim Crow and Algorithms of Resistance. On the Books focused specifically on the laws passed during the Jim Crow Era, which is defined for this project as the period between Reconstruction and the Civil Rights Movement (1866-1967). In addition to creating the corpus, the project also used machine learning to identify discoverable North Carolina segregation statutes during the Jim Crow era. This corpus contains all of the laws identified as those likely to be Jim Crow laws in a single file in plain text format. This is version 2 of the data. This work is licensed under a Creative Commons Attribution non-commercial 3.0 license: https://creativecommons.org/licenses/by-nc/3.0/
Methodology
Date of publication
Keyword
Subject
DOI
Kind of data
  • Text
Related resource URL
Resource type
  • Dataset
Rights statement
  • In Copyright
License
  • Attribution 3.0 United States
Funder
  • Creation of this corpus was funded by the Andrew W. Mellon Foundation as part of the first cohort for Collections as Data: Part to Whole, the Association of Research Libraries' Venture Fund Award, and the University of North Carolina at Chapel Hill University Libraries' IDEA Action Fund.
Project director
Researcher
  • Carrier, Sarah
  • Kelber, Nathan
  • Thomas, Kimber
  • Sturkey, William
Language
  • English

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