130,526 research outputs found
[Lonnie D. Allsup Rides Shiney Shorty]
No full textPhotograph of competitors in the 1997 National Cutting Horse Association Summer Cutting Spectacular held at Will Rogers Coliseum in Fort Worth, Texas. In this image, a horse, Shiney Shorty, ridden by Lonnie D. Allsup, separates a cow from the herd during a cutting competition in the Non-Professional Division of the Finals. Shiney Shorty was owned by Barbara and Lonnie D. Allsup
Martin Heidegger and the Inventive Destruktion of the Corpus Aristotelicum: Addressivity, Receptivity, and Synchronicity in the Archival Politics of SS1924
No full textThough critical assessments of Martin Heidegger’s existential phenomenology are nothing new, there have only been piecemeal efforts to grasp the scope and influence of Heidegger’s rhetorical politics on his attempt to rethink the scholastic and enlightenment images of man. With only a few notable exceptions, interest in the specifically rhetorical character of Heidegger’s philosophical commitments has yet to become a commonplace in debates about the value of Heidegger’s philosophy for the development political theory. In this dissertation, I contribute to this growing body of scholarship by presenting an account of Heidegger’s rhetorical politics that may serve as a critical response to the more optimistic readings of his existential phenomenology as a wellspring of communitarian being-with-others. I advance the case that we can articulate a specifically rhetorical character of his philosophical commitments by examining his inventive use of the Corpus Aristotelicum as an archival site of collective identity formation. Specifically, I examine how Heidegger’s development of a distinctively phenomenological approach to philological-hermeneutic practices of archival interpretation participates in a broader political strategy aimed at the “destruktion” of a culturally salient metaphysical image of man as subject. This “de-structured” image of man, I illustrate, is positioned by Heidegger to serve as the ground upon which he can, subsequently, construct a concept of “the people” that does not succumb to his critical ascription of averageness, inauthenticity, and falleness to “everyday” being-in-the-world. I advance the claim that we ought to characterize this move as a politics of populist (anti)metaphysics, yielding valuable insight into the rhetorical dimensions binding his philosophical ambitions with the role that he believed education ought to serve in the cultural and political maintenance of national identity. This, I conclude, ought to give pause in our more optimistic interpretations of the priority he gives to listening and silence over speech by considering these moves as part and parcel of a broader rhetorical politics articulating a nationalistic and proto-fascistic vision of collective identity, destiny, and belonging
MeSH term explosion and author rank improve expert recommendations
No full textInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
No full textBoth spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Scholarly Communication and Publishing Lunch and Learn Talk #11: The ULS Open Access Author Fee Fund
No full textAt the May 2014 talk, you will learn about the ULS Open Access Author Fee Fund--what it is, why we do it, how it works, and how the program is going so far
The R&D Tax Incentives
No full textThis article sets out some background information and reflections of the author on the R&D tax incentive schemes included in the Common Corporate Tax Base (CCTB) Proposal. In particular the author analyzes the stimulus to private R&D through ad hoc tax incentives included in the CCTB Proposal and dives into the actual provisions included in the Proposal highlighting the most relevant issues connected with their design and interpretation. Moreover, the author explores the interaction between the CCTB Proposal and the granting by Member States of domestic R&D tax incentives
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