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    Towards A Cross-Domain Notation

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    The musical score is an inherently ambiguous object that contains symbols that imply and refer to something other than themselves. The score acts as an imperfect form of communication between the composer and musician and relies upon a shared domain of knowledge to ensure that communication occurs at all. In this dissertation, the author explores the implementation of a notational system that requires musicians to interact with the conceptual metaphors that give meaning to the symbols in the musical score. I call this system cross-domain notation. Chapter 1 explains the conceptual framework that underlies cross-domain notation. Chapter 2 describes the four primary elements of cross-domain notation: presence, absence, and the established and discovered meaning and how these interact and support one another. Chapter 3 shows different implementations of cross-domain notation and how those are augmented through the use of digital scoring. Chapter 4 reflects on the process of working with musicians using this notation and on the next steps in developing cross-domain notation in other areas of the scoring process

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The 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
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