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Tempo excursions from Java to Jamaica
Three pieces of music: Temper Temper Time, Shepard, and Faux-Java Blues form a set that exploits experimental applications of unusual musical features: 5/4 tempo relationships and quintuple divisions; tempo spirals and expanded rock harmony and voice leading; and Indonesian/Western hybridity respectively. Elements of my compositional aesthetic, process, history, knowledge, and skills have contributed to the composition of these pieces, including the influence of popular music, Javanese music, recording technology, and tuning theory
Are The Beatles Really Different? Commentary on North and Krause (2023)
This article is a commentary on "Are The Beatles Different? A Computerized Psychological Analysis of Their Music," by North and Krause (2023), in which they analyze features extracted from the Spotify API and ultimately claim that The Beatles' music is statistically "innovative" compared to other music. In this commentary, I explore potential methodological issues with some of their analyses. Chiefly, I show that applying their analysis to other artists results in similar results in most cases. I conclude that The Beatles' innovativeness, whether real or imaginary, cannot be statistically determined from Spotify's acoustically derived features
Going Beyond Counting First Authors in Author Co-citation Analysis
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
Commentary on Ohriner (2016)
This commentary offers a review of Ohriner's corpus-based research on rap music, and includes an in-depth comparison of Ohriner's model with my own. It highlights multiple divergences in our underlying methodologies, and outlines the potential impact of such differences on the research results. Ohriner provides a convincing and widely appealing presentation of how musical corpora may be leveraged to effectively enhance traditional forms of analysis. However, I question his approach to certain processes, such as sampling, transcription, and segmentation. I believe that his analysis would benefit from stronger definitions in these areas
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
MCFlow: A Digital Corpus of Rap Transcriptions
This paper describes a new digital corpus of rap transcriptions known as the Musical Corpus of Flow (MCFlow). MCFlow currently contains transcriptions of verses from 124 popular rap songs, performed by 86 different rappers, containing a total of 374 verses, and consisting of 5,803 measures of music. MCFlow transcriptions contain rhythmic information, encoded in musical durations, as well as prosodic information, syntactic information, and phonetic information, including the identification of rhymes. In the second part of the paper, preliminary analyses of the corpus are presented, describing the "norms" of several important features of rap deliveries. These features include speed, rhyme density, metric position of stressed syllables, metric position of rhymes, phrase length, and the metric position of phrases. Several historical trends are identified, including an increase in rhyme density and phrase variability between 1980 and 2000. In each analysis, variance between different performers is compared to variance between songs. It is found that there is generally more variability between songs than between performers
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We 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
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