In this module, first-year undergraduates practice search methods and archival research using the On the Books Project, a collection of North Carolina Jim Crow laws. This module is part of a larger discussion in the writing course about research methods in the humanities. One of the goals of the course is teaching students to differentiate between scholarly & popular sources and primary & secondary sources, as well as how to use these sources in their own writing. Another goal is to practice searching various UNC Library collections and databases.
This assignment asks students to collect, describe, and interpret North Carolina Jim Crow-era laws. Students search or browse the On the Books collection for laws according to criteria outlined in the assignment text, then briefly describe and interpret those laws.
This file is the training set that was used to train an algorithm to identify Jim Crow laws. It contains laws that are labeled as "Jim Crow" (jim_crow=1) or "Not Jim Crow" (jim_crow=0). The source of the determination is also provided.
Resource type:
Dataset
Affiliation Label Tesim:
University of North Carolina at Chapel Hill. University Libraries, Department of History, and University of North Carolina at Chapel Hill
Type:
http://purl.org/dc/dcmitype/Dataset
DOI:
https://doi.org/10.17615/36y2-0y50
Keyword:
Jim Crow and segregation
Kind of Data:
Text
Language Label:
English
Last Modified Date:
2022-02-07
License Label:
Attribution 3.0 United States
Methodology:
The training set was created by using multiple sources:
[1] Murray, Pauli. 1951. States’ Laws on Race and Color: And Appendices Containing International Documents, Federal Laws and Regulations, Local Ordinances and Charts. Cincinnati: Woman’s Division of Christian Service, Board of Missions and Church Extension, Methodist Church.
[2] Paschal, Richard. 2020. Jim Crow in North Carolina The Legislative Program from 1865 to 1920. Durham: Carolina Academic Press.
[3] A random sample of North Carolina laws enacted between 1866-1967 were assessed by scholars William Sturkey and Kimber Thomas to be either "Jim Crow" or "Not Jim Crow".
[4] Team member James Dick reviewed the laws for consistency between the scholars' assessments.
ORCID:
0000-0002-1594-8377, 0000-0002-5269-2630, and
Other Affiliation:
Person:
Jansen, Matt, Henley, Amanda, Sturkey, William, Thomas, Kimber, Bruckner, Lorin, and Dick, James
Rights Statement Label:
In Copyright
Subject:
Law--North Carolina, Session laws--North Carolina, African Americans--Segregation, and North Carolina. General Assembly--Periodicals
Session Laws Passed by the North Carolina General Assembly During 1866/67-1967 (XML format) version 2
Creator:
Thomas, Kimber, Sturkey, William, Henley, Amanda, Jansen, Matt, Dalwadi, Rucha, Bruckner, Lorin, and Byers, Neil
Date of publication:
September 29, 2021
Abstract Tesim:
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/
Resource type:
Dataset
Affiliation Label Tesim:
University of North Carolina at Chapel Hill. University Libraries and Department of History
Type:
http://purl.org/dc/dcmitype/Dataset
DOI:
https://doi.org/10.17615/r18t-wp92
Keyword:
segregation and Jim Crow
Kind of Data:
Text
Language Label:
English
Last Modified Date:
2021-09-29
License Label:
Attribution 3.0 United States
Methodology:
Methods are fully explained in the project white paper: https://doi.org/10.17615/5c4g-sd44 and are explained briefly in the readme file accompanying this corpus.
ORCID:
https://orcid.org/0000-0002-1594-8377, https://orcid.org/0000-0002-5269-2630, https://orcid.org/0000-0003-2014-3335, , and https://orcid.org/0000-0001-6468-0023
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/
Resource type:
Dataset
Affiliation Label Tesim:
University of North Carolina at Chapel Hill. University Libraries and Department of History
Type:
http://purl.org/dc/dcmitype/Dataset
DOI:
https://doi.org/10.17615/rhqn-aq45
Keyword:
segregation and Jim Crow
Kind of Data:
Text
Language Label:
English
Last Modified Date:
2021-09-29
License Label:
Attribution 3.0 United States
Methodology:
Methods are fully explained in the project white paper: https://doi.org/10.17615/5c4g-sd44 and are explained briefly in the readme file accompanying this corpus.
ORCID:
https://orcid.org/0000-0002-1594-8377, https://orcid.org/0000-0002-5269-2630, https://orcid.org/0000-0003-2014-3335, , and https://orcid.org/0000-0001-6468-0023
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 (XML format) version 2
Creator:
Thomas, Kimber, Dalwadi, Rucha, Henley, Amanda, Byers, Neil, Sturkey, William, Bruckner, Lorin, and Jansen, Matt
Date of publication:
September 29, 2021
Abstract Tesim:
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/
Resource type:
Dataset
Affiliation Label Tesim:
University of North Carolina at Chapel Hill. University Libraries and Department of History
Type:
http://purl.org/dc/dcmitype/Dataset
DOI:
https://doi.org/10.17615/nrzm-p576
Keyword:
segregation and Jim Crow
Kind of Data:
Text
Language Label:
English
Last Modified Date:
2021-09-29
License Label:
Attribution 3.0 United States
Methodology:
Methods are fully explained in the project white paper: https://doi.org/10.17615/5c4g-sd44 and are explained briefly in the readme file accompanying this corpus.
ORCID:
https://orcid.org/0000-0002-1594-8377, https://orcid.org/0000-0002-5269-2630, , https://orcid.org/0000-0003-2014-3335, and https://orcid.org/0000-0001-6468-0023
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
Creator:
Thomas, Kimber, Jansen, Matt, Dalwadi, Rucha, Bruckner, Lorin, Henley, Amanda, Byers, Neil, and Sturkey, William
Date of publication:
September 29, 2021
Abstract Tesim:
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/
Resource type:
Dataset
Affiliation Label Tesim:
University of North Carolina at Chapel Hill. University Libraries and Department of History
Type:
http://purl.org/dc/dcmitype/Dataset
DOI:
https://doi.org/10.17615/ykbw-cb47
Keyword:
Jim Crow and segregation
Kind of Data:
Text
Language Label:
English
Last Modified Date:
2021-09-29
License Label:
Attribution 3.0 United States
Methodology:
Methods are fully explained in the project white paper: https://doi.org/10.17615/5c4g-sd44 and are explained briefly in the readme file accompanying this corpus.
ORCID:
https://orcid.org/0000-0002-5269-2630, https://orcid.org/0000-0002-1594-8377, , https://orcid.org/0000-0003-2014-3335, and https://orcid.org/0000-0001-6468-0023
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.
Resource type:
Other
Type:
http://purl.org/dc/dcmitype/Text
DOI:
https://doi.org/10.17615/hvz4-sr14
Language Label:
English
ORCID:
https://orcid.org/0000-0002-5269-2630, , and https://orcid.org/0000-0002-1594-8377
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 1
Creator:
Sturkey, William, Henley, Amanda, Bruckner, Lorin, Thomas, Kimber, Jansen, Matt, Dalwadi, Rucha, and Byers, Neil
Date of publication:
August 31, 2020
Abstract Tesim:
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 work is licensed under a Creative Commons Attribution non-commercial 3.0 license:
https://creativecommons.org/licenses/by-nc/3.0/
Resource type:
Dataset
Affiliation Label Tesim:
University of North Carolina at Chapel Hill. University Libraries and Department of History
Type:
http://purl.org/dc/dcmitype/Dataset
DOI:
https://doi.org/10.17615/c4cv-n176
Keyword:
segregation and Jim Crow
Kind of Data:
Text
Language Label:
English
Last Modified Date:
2020-08-31
License Label:
Attribution 3.0 United States
Methodology:
Methods are fully explained in the project white paper: https://doi.org/10.17615/5c4g-sd44 and are explained briefly in the readme file accompanying this corpus.
ORCID:
https://orcid.org/0000-0002-1594-8377, https://orcid.org/0000-0002-5269-2630, , https://orcid.org/0000-0003-2014-3335, and https://orcid.org/0000-0001-6468-0023
Other Affiliation:
Person:
Jansen, Matt, Henley, Amanda, Kelber, Nathan, Carrier, Sarah, Sturkey, William, Thomas, Kimber, Bruckner, Lorin, Dalwadi, Rucha, Byers, Neil, Patton, Jenna, Estorino, María R., Nallaparaju, Siri, Eck, Montana, Mullikin, Ashley, Oyeleke, Tim, and Long, Julia
Rights Statement Label:
In Copyright
Source:
nc580t06n
Subject:
Law--North Carolina, Session laws--North Carolina, North Carolina. General Assembly--Periodicals, and African Americans—Segregation