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AI: Archival Intelligence and User Expertise
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AI: Archival Intelligence and User Expertise

著者: Elizabeth Yakel; Deborah A Torres
版本/格式: 文章 文章 : 英语
刊登在:The American Archivist, Spring - Summer, 2003, vol. 66, no. 1, p. 51-78
数据库:JSTOR
其它数据库: British Library SerialsArticleFirst
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文件类型: 文章
所有的著者/提供者: Elizabeth Yakel; Deborah A Torres
ISSN:0360-9081
OCLC号码: 609054132
语言注释: English
注意: FIGURE 1. User Expertise in Archives
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摘要:

User studies in archives have long focused on researchers' satisfaction, behaviors, and use of primary sources. Yet, archivists have never defined what characteristics denote an expert user of archives. This article reports on a research study involving in-depth interviews with twentyeight individuals. The analysis of these interviews led to the development of a model of researcher expertise that might be incorporated into archival user education to create information literacy for primary sources. The authors assert that there are three distinct forms of knowledge required to work effectively with primary sources: domain (subject) knowledge, artifactual literacy, and the authors' own concept of archival intelligence. Archival intelligence is a researcher's knowledge of archival principles, practices, and institutions, such as the reason underlying archival rules and procedures, the means for developing search strategies to explore research questions, and an understanding of the relationship between primary sources and their surrogates. This is separate from domain or subject knowledge and artifactual literacy, or the ability to interpret and analyze primary sources. Archival intelligence encompasses three dimensions: 1) knowledge of archival theory, practices, and procedures; 2) strategies for reducing uncertainty and ambiguity when unstructured problems and ill-defined solutions are the norm; 3) and intellective skills.

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