THE ACHILLES OF RATIONALIST ARGUMENTS     

JOHN W. YOLTON 《Philosophical Books》1975,16(2):17-19

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Samuel Johnson's "Wonderful" remission of dropsy     

Fee WW 《Harvard library bulletin》1975,23(3):271-288

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II A comment on the report of the general board     

W. H. Plommer 《Minerva》1975,13(2):297-302

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Who's next? Research predicts museum leadership gap     

Joan H. Baldwin  Anne W. Ackerson 《Museum Management and Curatorship》2006,21(4):349-352

A brief commentary from the Museum Association of New York (MANY) on the unprecedented gap posed by baby-boomer retirement. Based, in part, on MANY's white paper, “Who's Next? Questioning the Future of Museum Leadership in New York State,” this essay deals with questions of succession, leadership and general differences in New York's museum community.  相似文献   

Editorial     

Donsbach  Wolfgang; Noelle-Neumann  Elisabeth; Traugott  Michael W.; Worcester  Robert 《Int. Journal of Public Opinion Research》2006,18(3):273-274

This issue of the Journal contains three interesting articlesabout central aspects of public opinion research, as well asan equal number of research notes that reflect the range oftopics that interest all public opinion researchers. Toshio Takeshita takes a turn at reconceptualizing agenda-settingstudies, using a taxonomy  相似文献   

Organizational Power and the Institutional Review Board     

Debbie S. Dougherty  Michael W. Kramer 《Journal of Applied Communication Research》2005,33(3):277-284

In this essay, we respond to the narratives and essays in this issue by examining organizational power issues related to researchers and institutional research boards (IRBs). Rather than taking a singular perspective on power, we use multiple perspectives and suggest that the cumulative analyses provide the best understanding of IRBs and organizational power.  相似文献   

Analysis of Statistical Question Classification for Fact-Based Questions   总被引：1，自引：0，他引：1  

Donald Metzler  W. Bruce Croft 《Information Retrieval》2005,8(3):481-504

Question classification systems play an important role in question answering systems and can be used in a wide range of other domains. The goal of question classification is to accurately assign labels to questions based on expected answer type. Most approaches in the past have relied on matching questions against hand-crafted rules. However, rules require laborious effort to create and often suffer from being too specific. Statistical question classification methods overcome these issues by employing machine learning techniques. We empirically show that a statistical approach is robust and achieves good performance on three diverse data sets with little or no hand tuning. Furthermore, we examine the role different syntactic and semantic features have on performance. We find that semantic features tend to increase performance more than purely syntactic features. Finally, we analyze common causes of misclassification error and provide insight into ways they may be overcome.  相似文献   

Constructing a concise medical taxonomy.   总被引：2，自引：0，他引：2  

Bruce McGregor 《Journal of the Medical Library Association》2005,93(1):121-123

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A curious mind.     

Lucretia W McClure 《Journal of the Medical Library Association》2005,93(2):197-198

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Explaining Media Choice: The Role of Issue-Specific Engagement in Predicting Interest-Based and Partisan Selectivity     

Lauren Feldman  Magdalena Wojcieszak  Natalie Jomini Stroud  Bruce Bimber 《广播与电子媒介杂志》2018,62(1):109-130

This study analyzes the predictors of 2 types of media selectivity: interest-based (i.e., choice of entertainment over politics) and partisan (i.e., choice of pro-attitudinal over counter-attitudinal or balanced news). Relying on a large survey-based experiment, we find that issue-specific engagement variables, including perceived issue understanding, issue importance, and issue attitude strength, predict interest-based and partisan selectivity above and beyond the influence of general political knowledge, news interest, and strength of political leanings. These results show that the drivers of selectivity are more complex than general political attributes; rather, they are contextual and reflect people’s engagement with particular issues.  相似文献