1996
DOI: 10.1016/0364-6408(96)00067-1
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The role and impact of library of congress classification on the assessment of women's studies collections

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1996
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Cited by 12 publications
(4 citation statements)
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“…For instance, Heidenwolf (1994) evaluated a large university's public health interdisciplinary research collection in terms of resources not held in the collection and materials cited by experts in the field. Other investigations have demonstrated that environmental studies (DeFelice and Rinaldo 1994;Steele and Stier 2000), women's studies (Intner and Futas 1996;Westbrook 1997), the study of communications, information, and library (Wilson and Edelman 1997), as well as social work (Jacoby, Murray, Alterman and Welbourne 2002) are examples of interdisciplinary programs within academe that fall between the cracks in terms of adequate collection development in libraries. While such research has documented the identification and impact of such gaps, there has been little research to investigate interdisciplinary activity within single departments.…”
Section: Literature Reviewmentioning
confidence: 99%
“…For instance, Heidenwolf (1994) evaluated a large university's public health interdisciplinary research collection in terms of resources not held in the collection and materials cited by experts in the field. Other investigations have demonstrated that environmental studies (DeFelice and Rinaldo 1994;Steele and Stier 2000), women's studies (Intner and Futas 1996;Westbrook 1997), the study of communications, information, and library (Wilson and Edelman 1997), as well as social work (Jacoby, Murray, Alterman and Welbourne 2002) are examples of interdisciplinary programs within academe that fall between the cracks in terms of adequate collection development in libraries. While such research has documented the identification and impact of such gaps, there has been little research to investigate interdisciplinary activity within single departments.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Collection evaluation continued to receive considerable attention during the year. Dobson et al (1996) analyzed the collection evaluation problems associated with interdisciplinary fields, while Intner and Futas (1996) focussed specifically on evaluation problems in Women's Studies. Wood (1996b) provided a detailed overview of the Conspectus, explaining why he considers it an effective collection assessment tool.…”
Section: Collection Evaluationmentioning
confidence: 99%
“…These library classification systems are large-scale, hierarchical examples of human categorization that are directly accessible and much more amenable to computational analysis than the category systems that all of us carry around in our heads. Focusing on library classification also allows us to connect our approach with a large body of existing work in the library and information sciences devoted to uncovering and mitigating bias in the LCC (Angell & Price, 2012 ; Howard & Knowlton, 2018 ; Intner & Futas, 1996 ; Kam, 2007 ; Rogers, 1993 ), the DDC (Higgins, 2016 ; Kua, 2008 ; Olson & Ward, 1997 ; Westenberg, 2022 ), or both (Mai, 2010 ; Zins & Santos, 2011 ). Category systems, especially more formal systems like library classifications, are often perceived as neutral or objective, making it all the more important to develop methods that enable us to quantify and thus acknowledge and address the biases that may be implicit in these systems.…”
Section: Introductionmentioning
confidence: 99%
“…In general, the LCC and DDC systems have been found to be biased and unsystematic in their coverage of non-western religions and racial groups (Westenberg, 2022 ; Zins & Santos, 2011 ) and both systems are biased in their categorization of non-western languages and literatures (Higgins, 2016 ; Howard & Knowlton, 2018 ; Kua, 2008 ). In addition, both systems struggle to represent topics related to women and women’s studies, and these topics are often restricted to limited sets of categories that are scattered across the classification scheme (Intner & Futas, 1996 ; Olson & Ward, 1997 ). We thus apply our methods to two case studies of bias.…”
Section: Introductionmentioning
confidence: 99%