专家对增长极限的接受:书籍史学家的几个简单工具

Q2 Arts and Humanities
C. Knott
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引用次数: 0

摘要

在20世纪70年代早期,麻省理工学院的一个研究小组使用新的计算机建模方法来模拟全球动态过程。他们的工作结果是对全世界自然资源枯竭的一系列预测,这可能给环境和经济带来可怕的后果。他们关于模型及其预测的报告在1972年出版了一本书,名为《增长的极限》。它立即在学者、政策制定者和其他受过教育的读者之间引发了一场辩论,在《增长的极限》一书的整个生命周期中,引用它的出版物数不胜数。它在发布50年后仍然被引用。漫长的引证期和随时间变化的不同反应给书籍历史学家提出了挑战,他们试图描述这本书的接受情况。本文探讨了书籍历史学家可以使用现成的引文分析和可视化工具来加深对二手文献中通常使用的定性方法之外的书籍接受的理解的方法。Web of Science的引文索引和HathiTrust集合的全文搜索功能被用来识别引用或参考《增长的极限》的文章和书籍。从每个搜索结果中生成的可视化示例作为简单易用的工具的插图包含在内,当他或她的工作规模不需要在数字人文项目中创建用于解析大文本数据的那种计算分析时,单独的书籍历史学家可以使用这些工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Expert Reception of The Limits to Growth: A Few Simple Tools for the Book Historian
In the early 1970s, a research team at the Massachusetts Institute of Technology used new methods of computer modelling to simulate global dynamic processes. The outcome of their work was a series of projections of the depletion of natural resources worldwide, with potentially dire consequences for the environment and the economy. Their report on their modelling and its projections was issued as a book in 1972, entitled The Limits to Growth. It created an immediate debate among scholars, policy makers, and other educated readers, and publications citing The Limits to Growth over its lifespan are voluminous. It continues to be cited 50 years after it was issued. The long citation period and the varied responses over time pose challenges for the book historian seeking to characterise the reception of the book. This article explores the ways in which book historians can use readily available citation analysis and visualisation tools to deepen understanding of a book’s reception beyond the qualitative methods typically used in the secondary literature. The Web of Science’s citation indexing and the HathiTrust collection’s full-text searching capability are used to identify articles and books that have cited or referred to The Limits to Growth. Examples of the visualisations generated from the search results in each are included as illustrations of simple, accessible tools that the lone book historian can use when the scale of his or her work does not require the kind of computational analytics created to parse big textual data in digital humanities projects.
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来源期刊
Knygotyra
Knygotyra Arts and Humanities-Literature and Literary Theory
CiteScore
0.30
自引率
0.00%
发文量
14
审稿时长
30 weeks
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