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TABLE 2. iSchools’ intellectual demographics in 2009.
Computing 233 30%
Information 88 11%
Library 79 10%
Social & Behavioral 78 10%
Management & Policy 70 9%
Science & Engineering 69 9%
Education 58 8%
Humanities 54 7%
Communication 40 5%
Total 769 100%
TABLE 1. Classification of disciplinary areas for the 2009 iCaucus school’s faculty.
Area N (%) Component areas
Computing 233 (30%) Computer Science, Electrical Engineering, Mathematics
Information 88 (11%) Information Science, Information Studies, Information Transfer, Communication Information and Library Studies
Library 79 (10%) Library Science, Information and Library Science, Library and Information Science
Social & Behavioral 78 (10%) Psychology, Sociology, Social Sciences
Management & Policy 70 (9%) Business, Management, Policy, Economics
Science & Engineering 69 (9%) Life Sciences, Physical Sciences, Statistics, Engineering (not electrical)
Education 58 (8%) Education
Humanities 54 (7%) History, Philosophy, Literature, Multi & Interdisciplinary Studies
Communication 40 (5%) Communication
TABLE 4. Inductively generated clustering heuristics.
Cluster Heuristic
Computational 60% to 80% Computing with Science & Engineering as only additional area over 10%
Library & Information More than 50% Library, Information, and Humanities together
Library: Library+Information+Humanities>70%
Information: 70%>Library+Information+Humanities>50%
Sociotechnical 24% to 40% Computing with 3+ additional social science areas (Social & Behavioral, Management & Policy, Library,
Information) but no more than 34% from combined Library and Information areas
Niche Dominant areas are not strongly represented elsewhere, or combines strongest areas (e.g., Computing) with unique set of
secondary fields
参考文献: Wiggins,A. & Sawyer, S. Intellectual Diversity and the Faculty Composition of iSchools. JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 63(1):8–21, 2012
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