On the Books: Jim Crow and Algorithms of Resistance, a Collections as Data Case Study

IF 2.1 3区 计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Amanda Henley, Lorin Bruckner, Hannah Jacobs, Matthew Jansen, Brianna Nunez, Rolando Rodriguez, Morgan Wilson
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Abstract

On the Books: Jim Crow and Algorithms of Resistance is a collections as data and machine learning project from the University Libraries at the University of North Carolina at Chapel Hill. This project has created a plain text corpus of North Carolina legal volumes (1866-1967) and used machine learning to identify likely Jim Crow laws. The project has been well received and is now being expanded to two additional states, while assessing the use of On the Books products in research and instruction. State partners at the University of South Carolina and the University of Virginia are adapting the On the Books methodology to create corpora for their own states. Three teaching fellows created learning modules that use products from On the Books and taught the modules to college-level courses. Research fellows are making use of the products on research projects of their own design. This paper will provide background for the On the Books project and will assess its use for multiple purposes: as a workflow to be reproduced by others, as content for use in teaching and learning, and as a resource for researchers. To demonstrate the utility of On the Books as a research tool, the article is co-authored by one of the research fellows. The project, “Mental Health, Disability, and Jim Crow Laws in North Carolina, 1866-1967,” makes use of the legal corpus as a primary source for researching the intersections of information, mental health, nutrition, and shifts from agricultural to industrial economics in the history of North Carolina. By assessing the experiences of those making use of On the Books products, this paper contributes to the understanding of best practices for those interested in creating and supporting collections as data so they may be used successfully for reproducibility, research, and teaching.
在书:吉姆·克劳和算法的抵抗,收集作为数据案例研究
在书中:吉姆·克劳和抵抗算法是来自北卡罗来纳大学教堂山分校大学图书馆的数据和机器学习项目的集合。该项目创建了北卡罗来纳州法律卷(1866-1967)的纯文本语料库,并使用机器学习来识别可能的吉姆·克劳法律。该项目受到了好评,现在正在扩展到另外两个州,同时评估On The Books产品在研究和教学中的使用情况。南卡罗来纳大学(University of South Carolina)和弗吉尼亚大学(University of Virginia)的州政府合作伙伴正在采用On the Books的方法,为自己的州创建语料库。三位助教创建了使用On the Books产品的学习模块,并将这些模块教授给大学水平的课程。研究人员正在自己设计的研究项目中使用这些产品。本文将提供On the Books项目的背景,并将评估其在多种用途上的使用:作为他人复制的工作流程,作为教学和学习使用的内容,以及作为研究人员的资源。为了展示On the Books作为一种研究工具的实用性,本文由一位研究人员共同撰写。该项目名为“北卡罗莱纳州的精神健康、残疾和吉姆·克劳法,1866-1967”,利用法律语料库作为研究北卡罗莱纳州历史上信息、精神健康、营养和从农业到工业经济转变的交叉点的主要来源。通过评估那些使用On the Books产品的人的经验,本文有助于理解那些对创建和支持集合作为数据感兴趣的人的最佳实践,以便他们可以成功地用于再现、研究和教学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACM Journal on Computing and Cultural Heritage
ACM Journal on Computing and Cultural Heritage Arts and Humanities-Conservation
CiteScore
4.60
自引率
8.30%
发文量
90
期刊介绍: ACM Journal on Computing and Cultural Heritage (JOCCH) publishes papers of significant and lasting value in all areas relating to the use of information and communication technologies (ICT) in support of Cultural Heritage. The journal encourages the submission of manuscripts that demonstrate innovative use of technology for the discovery, analysis, interpretation and presentation of cultural material, as well as manuscripts that illustrate applications in the Cultural Heritage sector that challenge the computational technologies and suggest new research opportunities in computer science.
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