Replicative Network Structures: Theoretical Definitions and Analytical Applications

Total Page:16

File Type:pdf, Size:1020Kb

Replicative Network Structures: Theoretical Definitions and Analytical Applications REPLICATIVE NETWORK STRUCTURES: THEORETICAL DEFINITIONS AND ANALYTICAL APPLICATIONS by STEPHANIE KATHLEEN LIND B. Mus., Wilfrid Laurier University, 2000 M. A., The University of British Columbia, 2003 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF: DOCTOR OF PHILOSOPHY in THE FACULTY OF GRADUATE STUDIES (Music) THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver) July 2008 © Stephanie Kathleen Lind, 2008 Abstract Among the techniques associated with the theory of musical transformations, network analysis stands out because of its broad applicability, demonstrated by the diverse examples presented in David Lewin’s seminal work Musical Form and Transformation and related articles by Lewin, Klumpenhouwer, Gollin, and others. While transformational theory can encompass a wide variety of analytical structures, objects, and transformations, two particular types of network postulated by Lewin are often featured: the product network and the network-of-networks. These structures both incorporate repetition, but in different ways. This document will propose one possible definition for product networks and networks-of-networks that is consistent with Lewin’s theories as presented in Generalized Musical Intervals and Transformations . This definition will clarify how each of these two network formats may be generated from the same sub-graphs, which in turn will clarify the advantages and disadvantages of each structure for musical analysis, specifically demonstrating how analytical goals shape the choice of network representation. The analyses of Chapters 3 and 4 examine works by contemporary Canadian composers that have not been the subject of any published analyses. Chapter 3 presents short examples from the works of contemporary Québécois composers, demonstrating the utility of these networks for depicting connections within brief passages that feature short, repeated motives. Chapter 4 presents an analysis of R. Murray Schafer’s Seventh String Quartet , demonstrating how these structures can be used to link small-scale events with longer prolongations and motivic development throughout a movement. Chapter 5 ii demonstrates through a wider repertoire how analytical goals shape the choice of network representation, touching on such factors as continuity, motivic return, and implied collections. iii Table of Contents Abstract .............................................................................................................................. ii Table of Contents ............................................................................................................. iv List of Figures .................................................................................................................... v Acknowledgements ........................................................................................................viii Chapter 1 : Introduction ................................................................................................... 1 Chapter 2 : Theoretical Definitions................................................................................ 29 Section 1: Defining Product Graphs and Networks................................................. 30 Section 2: Networks-of-Networks ........................................................................... 47 Section 3: Other Replicative Structures................................................................... 59 Section 4: Relating Replicative Networks ............................................................... 61 Chapter 3 : Analyses of Contemporary Québécois Works............................................. 65 Chapter 4 : An Analysis of Schafer’s Seventh String Quartet ..................................... 100 Chapter 5 : Analytical Goals and a Broader Range of Analyses.................................. 146 Chapter 6 : Conclusion................................................................................................. 185 Limitations .............................................................................................................. 185 Differences between Networks-of-Networks and Product Networks..................... 186 Hierarchy................................................................................................................. 188 Network Structure and Analytical Meaning ........................................................... 189 Expectation and Network Structure........................................................................ 190 Scale and Choice of Networks................................................................................ 192 Issues for Future Research...................................................................................... 192 Bibliography .................................................................................................................. 197 iv List of Figures Figure 1.1 : Pépin, Monade VI – Réseaux , Cahier 7, fourth system .................................. 2 Figure 1.2 : A network and other related formal structures ............................................... 4 Figure 1.3 : Networks depicting the music of Pépin, Monade VI – Réseaux , Cahier 7, fourth system........................................................................................... 5 Figure 1.4 : Analyses from Lewin, GMIT , section 9.5.5 ................................................... 7 Figure 1.5 : Gilles Tremblay, Phases , I 4 relations in measures 1-4................................. 14 Figure 1.6 : An analysis of inversionally-based pitch-class relationships in Tremblay, Phases , mm. 1-3 .................................................................................. 14 Figure 1.7 : A large-scale network of Klumpenhouwer networks................................... 17 Figure 1.8 : An example of Lewin's contextual transformation "K" ............................... 19 Figure 1.9 : Figures from Lewin's “Transformational Considerations in Schoenberg’s Opus 23, Number 3” ...................................................................... 20 Figure 1.10 : A network, corresponding to Lewin’s analytical commentary, which incorporates the graph of his Figure 9.1..................................................... 21 Figure 1.11 : Reinterpreting Lewin's Figure 9.2 .............................................................. 22 Figure 1.12 : Lewin's Figures 9.10 and 9.11.................................................................... 24 Figure 1.13 : An analysis of Stockhausen's Klavierstück III , from Lewin’s Musical Form and Transformation ....................................................................... 25 Figure 1.14 : A complete product network-of-networks based on Figure 1.13............... 26 Figure 2.1 : A network of mode-step transformations involving the pitch classes of the C-Major mode............................................................................................. 47 Figure 2.2 : Nested network and graph structures ........................................................... 48 Figure 2.3 : CONTENTSMAP and TRANSIT mappings within the network-of-networks NON................................................................................... 56 Figure 2.4 : The derivation of a sequential graph ............................................................ 60 v Figure 3.1 : Pépin, Monade VI – Réseaux , Cahier 7, fourth system ................................ 66 Figure 3.2 : Network representations of the motive boxed in Figure 3.1 ........................ 67 Figure 3.3 : Pépin, Monade VI – Réseaux , Cahier 7, 12th-14th systems......................... 70 Figure 3.4 : A network for the transpositionally-generated phrases of Figure 3.3 .......... 71 Figure 3.5 : Hétu, Prélude , measures 16-20 .................................................................... 72 Figure 3.6 : Hétu, Prélude , similar network structures between representations of the augmented triad and instances of the main motivic group ......................... 73 Figure 3.7 : Hétu, Prélude , measures 25-28 .................................................................... 74 Figure 3.8 : Hétu, Prélude , similar network structures between representations of the augmented triad and instances of the main motivic group in measures 25-28 ..................................................................................................... 74 Figure 3.9 : Hétu, Toccata , op. 1, measures 1-18 ............................................................ 76 Figure 3.10 : Sequences and near-sequences in measures 1-18 of Hétu’s Toccata , op. 1........................................................................................................ 77 Figure 3.11 : Interpreting pitch classes in measures 9-10 of Hétu, Toccata , op. 1, right hand.................................................................................................... 79 Figure 3.12 : Hétu, Sonate pour Piano , first movement, measures 1-6........................... 80 Figure 3.13 : Analytical networks for Hétu, Sonate pour piano , first movement, mm. 1-6................................................................................................................. 80 Figure 3.14 : Hétu, Sonate pour Piano , first movement, measures 17-19....................... 83 Figure 3.15 : Transformations involved in SC 0167........................................................ 84 Figure 3.16 : Transformations between tetrachords in measures 17-19 of Hétu's Sonate pour piano , first movement......................................................................
Recommended publications
  • Schoenberg's Chordal Experimentalism Revealed Through
    Music Theory Spectrum Advance Access published September 18, 2015 Schoenberg’s Chordal Experimentalism Revealed through Representational Hierarchy Association (RHA), Contour Motives, and Binary State Switching This article considers the chronological flow of Schoenberg’s chordal atonal music, using melodic contour and other contextual features to prioritize some chordal events over others. These non- consecutive chords are tracked and compared for their coloristic contrasts, producing an unfolding akin to Klangfarbenmelodie, but paced more like a narrative trajectory in a drama. The dramatic pacing enhances discernment of nuance among atonal dissonant chords, thereby emancipating them from subordinate obscurity to vivid distinctness. Thus Schoenberg’s music is strategically configured to differentiate its own pitch material. This approach is theorized in terms of represen- Downloaded from tational hierarchy association (RHA) among chords, and demonstrated in analyses of Op. 11, No. 2, Op. 21, No. 4, and Op. 19, No. 3. In support, the analyses consider: (1) the combinatorics of voicing as effecting contrasts of timbre; (2) an application of Lewin’s Binary State Generalized Interval System (GIS) to melodic contour and motivic transformation based on binary-state switch- ing; (3) Klumpenhouwer Networks to model chord-to-chord connections hierarchically; and (4) the role of pitch-class set genera (families of chords) in projecting a palindromic arch form. http://mts.oxfordjournals.org/ Keywords: dualism, chords, Schoenberg, segmentation,
    [Show full text]
  • MTO 15.1: Roeder, Animating the “Inside”
    Volume 15, Number 1, March 2009 Copyright © 2009 Society for Music Theory John Roeder KEYWORDS: transformational theory, David Lewin, animation, analysis ABSTRACT: This brief introduction describes the contributions to this special issue of Music Theory Online and discusses some outstanding issues in transformational theory. The seven essays collectively address those issues by focusing on the analysis of entire pieces or sections, by using computer animation to help convey the attitude Lewin advocates of being “inside” the music, and by focusing on diverse recent compositions, revealing connections among them. Received November 2008 [1] The impact of David Lewin’s 1987 Generalized Musical Intervals and Transformations (GMIT)—the definitive exposition of transformational theory—is evident from the waves of research it inspired.(1) A 1993 conference devoted to Neo-Riemannian theory inspired a special issue of the Journal of Music Theory (42/2) in 1998. Neo-Riemannian theory, which treats triadic transformations and the voice leading associated with them, has since seen productive generalization and application to a variety of music.(2) Another transformational construct that Lewin advocated, the Klumpenhouwer network, became the subject of a special issue (24/2) of Music Theory Spectrum, and has been the focus of numerous contributions to Music Theory Online over the past two years. Lewin’s mathematical approach fostered a renewed appreciation of similar treatments of musical structure, contemporary with and antecedent to his work,(3) and has informed more recent theories of chord structure and relations.(4) The 2003 Mannes Institute for Advanced Studies in Music Theory, by devoting six workshops to various aspects and extensions of transformational theory, recognized all these developments and their importance to the discipline.
    [Show full text]
  • MTO 17.1: Peck, a GAP Tutorial for Transformational Music Theory
    Volume 17, Number 1, April 2011 Copyright © 2011 Society for Music Theory A GAP Tutorial for Transformational Music Theory Robert W. Peck NOTE: The examples for the (text-only) PDF version of this item are available online at: http://www.mtosmt.org/issues/mto.11.17.1/mto.11.17.1.peck.php KEYWORDS: computer-assisted research, transformational music theory, group theory, Klumpenhouwer networks, neo-Riemannian theory ABSTRACT: GAP (an acronym for Groups, Algorithms, and Programming) is a system of computational discrete algebra that may function as an application for experimentation in transformational music theory. In particular, it offers tools to music theorists that are not readily available elsewhere. This tutorial will show how GAP may be used to generate algebraic group structures well known to music theorists. Furthermore, it will investigate how these structures may be applied to the study of transformation theory, using familiar concepts from Klumpenhouwer-network and neo-Riemannian theories. Received October 2010 [1] About GAP [1.1] GAP (an acronym for Groups, Algorithms, and Programming) is a mathematical software package that has great potential as a tool for researchers and students of transformational music theory. Whereas many computer resources are available to music theorists in the investigation of pitch-class set theory and serial theory—pitch-class set calculators, matrix generators, and the like—few, if any, permit users to construct, analyze, and manipulate algebraic systems themselves. Such techniques, however, are an increasingly large part of the transformation theorist’s methodologies. It is often necessary to consider concepts such as the subgroup structure of a group, or to determine a group’s automorphisms.
    [Show full text]
  • MTO 13.3: Murphy, Considering Network
    Volume 13, Number 3, September 2007 Copyright © 2007 Society for Music Theory Scott Murphy REFERENCE: http://www.mtosmt.org/issues/mto.07.13.2/mto.07.13.2.buchler.html KEYWORDS: Klumpenhouwer network, recursion, self-similarity, Bartók, analysis, inversion, mirror, axis, register ABSTRACT: Notions of network recursion, as they have been designated in music analyses, may be organized into five categories that range from exact self-similarity to self-dissimilarity. This perspective reveals that Michael Buchler’s critique of network recursion does not necessarily fully apply to analyses in all categories of network recursion. An analysis of Bartók’s “Fourths” serves as an example of how network recursion analysis can achieve significant results and avoid most of, if not all of, Buchler’s critique. Received September 2007 [1] In his article “Reconsidering Klumpenhouwer Networks,” Michael Buchler advocates for a stronger perceptual salience of the types of observations that Klumpenhouwer networks afford. In the course of his critique, he presents two criteria that perceptually salient K-net analyses should meet: they should take place in registral space (henceforth, p-space) to an appreciable degree,(1) and they should not endure the perceptual strain of negative isography, i.e. dual- or hyper-inversions (2) (<In >). The price for the former is an increase in analytical exclusivity, since such relationships do not occur as often in the literature. The price for the latter seems steeper, as Buchler explains: “One could avoid the particular phenomenological problem of dual inversion by resolving to employ only positively isographic K-nets, but doing so effectively forfeits one’s ability to produce recursive network structures, and these are perhaps the greatest incentive for using K-nets in the first place.”(3) Part II of this article presents a K-net analysis of Bartók’s “Fourths” from Mikrokosmos that meets both of these criteria.
    [Show full text]
  • 1 Chapter 1 a Brief History and Critique of Interval/Subset Class Vectors And
    1 Chapter 1 A brief history and critique of interval/subset class vectors and similarity functions. 1.1 Basic Definitions There are a few terms, fundamental to musical atonal theory, that are used frequently in this study. For the reader who is not familiar with them, we present a quick primer. Pitch class (pc) is used to denote a pitch name without the octave designation. C4, for example, refers to a pitch in a particular octave; C is more generic, referring to any and/or all Cs in the sonic spectrum. We assume equal temperament and enharmonic equivalence, so the distance between two adjacent pcs is always the same and pc C º pc B . Pcs are also commonly labeled with an integer. In such cases, we will adopt the standard of 0 = C, 1 = C/D, … 9 = A, a = A /B , and b = B (‘a’ and ‘b’ are the duodecimal equivalents of decimal 10 and 11). Interval class (ic) represents the smallest possible pitch interval, counted in number of semitones, between the realization of any two pcs. For example, the interval class of C and G—ic(C, G)—is 5 because in their closest possible spacing, some C and G (C down to G or G up to C) would be separated by 5 semitones. There are only six interval classes (1 through 6) because intervals larger than the tritone (ic6) can be reduced to a smaller number (interval 7 = ic5, interval 8 = ic4, etc.). Chapter 1 2 A pcset is an unordered set of pitch classes that contains at most one of each pc.
    [Show full text]
  • Arxiv:1611.02249V1 [Math.CT] 2 Nov 2016
    RELATIONAL PK-NETS FOR TRANSFORMATIONAL MUSIC ANALYSIS ALEXANDRE POPOFF, MORENO ANDREATTA, AND ANDREE´ EHRESMANN Abstract. In the field of transformational music theory, which emphasizes the possible transformations between musical objects, Klumpenhouwer networks (K-Nets) constitute a useful framework with connections in both group theory and graph theory. Recent attempts at formalizing K-Nets in their most general form have evidenced a deeper connection with category theory. These formalizations use diagrams in sets, i.e. functors C ! Sets where C is often a small category, providing a general framework for the known group or monoid actions on musical objects. However, following the work of Douthett and Cohn, transformational music theory has also relied on the use of relations between sets of the musical elements. Thus, K-Net formalizations have to be further extended to take this aspect into account. This work proposes a new framework called relational PK-Nets, an extension of our previous work on Poly-Klumpenhouwer networks (PK-Nets), in which we consider diagrams in Rel rather than Sets. We illustrate the potential of relational PK-Nets with selected examples, by analyzing pop music and revisiting the work of Douthett and Cohn. 1. From K-Nets and PK-Nets to relational PK-Nets We begin this section by recalling the definition of a Poly-Klumpenhouwer Network (PK- Net), and then discuss about its limitations as a motivation for introducing relational PK- Nets. 1.1. The categorical formalization of Poly-Klumpenhouwer Networks (PK-Nets). Following the work of Lewin [1, 2], transformational music theory has progressively shifted the music-theoretical and analytical focus from the \object-oriented" musical content to the operational musical process.
    [Show full text]
  • 11/03/06 Trevor De Clercq TH513 Headlam
    11/03/06 Trevor de Clercq TH513 Headlam Webern's Cello Sonata: Variation, Transformation, and Saturation In the autumn of 1965, a musicologist named Dr. Hans Moldenhauer, who was doing research for a biography of Anton von Webern, met in Vienna with Hermine von Webern, the widow of Anton's only son, Peter.1 Peter had died, like his father, in 1945 as a result of circumstances related to the war. Because the rest of the Webern clan had abandoned Vienna due to the Russian invasion, Hermine, had inherited (by default) a large number of her father-in- law Anton's personal belongings, which had been stored since 1945 in the attic of Hermine's mother. It was only 20 years later, in his efforts to shed light upon the life of Anton von Webern, that Dr. Moldenhauer discovered in this attic a treasure trove of the composer's unpublished manuscripts and sketches. Among these newly-found compositions was an unfinished sonata for cello, the work dated November 9th, 1914. From Webern's own writings, we know that the piece was originally conceived to have been a two-movement work; however, Webern eventually abandoned progress on the composition to instead write the op. 11 miniatures for cello and piano.2 The only existing version of the work, therefore, derives from the pencil draft of the first movement found by Dr. Moldenhauer on his 1965 pilgrimage. The Cello Sonata was officially published soon thereafter in its incomplete form.3 Perhaps due to its more modern publication date or some stigma regarding its unfinished status, the Cello Sonata has not received as much analytical investigation as many other pieces in the Webern repertoire.
    [Show full text]
  • Music Theory Society of New York State
    Music Theory Society of New York State Annual Meeting Skidmore College 815 N. Broadway Saratoga Springs, NY 12866 8–9 April 2006 PRELIMINARY PROGRAM Saturday, 8 April 8:30–9:00 am Registration 9:00–10:30 am Rhythm in Jazz and Pop Music 9:00–10:30 am Tonal/Atonal 10:30 am –12:00 Polytonality in Jazz pm 10:30 am – 12:00 Late 20th­Century Masters pm 12:00–1:30 pm Lunch 1:30–2:00 pm Business Meeting 2:00–4:15 pm Set Theory 2:00–4:15 pm The Legacy of Bach 4:30–5:30 pm Lecture/Performance: Conversations with Monk and Evans 5:30–6:00 pm Jazz Analysis Round­Table Discussion 6:00–8:00 pm Banquet 8:00 pm Piano Recital — Richard Hihn Sunday, 9 April 9:00 am–12:00 A Tribute to Jonathan Kramer pm 9:00 am–10:30 Early Baroque Music am 10:30 am–12:00 Conventions of the Unconventional pm Program Committee: Chandler Carter (Hofstra University), chair; Poundie Burstein (ex officio), Patricia Julien (University of Vermont), Steven Laitz (Eastman School of Music); Matthew Santa (Texas Tech), and Albin Zak III (SUNY Albany). MTSNYS Home Page | Conference Information Saturday, 9:00 am – 10:30 am Rhythm in Jazz and Pop Music Chair: Gordon Thompson (Skidmore College) Re­casting Metal: Popular Music Analysis Goes Meshuggah Jonathan R. Pieslak (City College, CUNY) Charlie Parker's Blues Compositions: Elements of Rhythm and Voice Leading Henry Martin (Rutgers University – Newark) Program “Re­casting Metal: Popular Music Analysis Goes Meshuggah” The field of popular music analysis seems to be largely divided between three contrasting analytical perspectives: “formalist” analysis involving methods employed for music of the Western classical tradition; sociological analysis, which tends not to engage works in a musically­theoretic way, but rather, situates them within a socio­cultural context; and a synthesis of sound, textual, and timbre analysis of specific pieces with features of sociological analysis.
    [Show full text]
  • Relational Poly-Klumpenhouwer Networks for Transformational and Voice-Leading Analysis
    Journal of Mathematics and Music,2018 Vol. 12, No. 1, 35–55, https://doi.org/10.1080/17459737.2017.1406011 Relational poly-Klumpenhouwer networks for transformational and voice-leading analysis a b c Alexandre Popoff ,MorenoAndreatta ∗,andAndréeEhresmann a119 Rue de Montreuil, 75011 Paris; bIRCAM-CNRS-UPMC, Paris, and IRMA-CNRS-GREAM, Université de Strasbourg, Strasbourg, France; cLAMFA, Université de Picardie, Amiens, France (Received 21 December 2016; accepted 12 October 2017) In the field of transformational music theory, which emphasizes the possible transformations between musical objects, Klumpenhouwer networks (K-nets) constitute a useful framework with connections in both group theory and graph theory. Recent attempts at formalizing K-nets in their most general form have evidenced a deeper connection with category theory. These formalizations use diagrams in sets, i.e. functors C Sets where C is often a small category, providing a general framework for the known group or monoid→ actions on musical objects. However, following the work of Douthett–Steinbach and Cohn, transformational music theory has also relied on the use of relations between sets of the musical elements. Thus, K-net formalizations should be extended further to take this aspect into account. The present article proposes a new framework called relational PK-nets,anextensionofourpreviouswork on poly-Klumpenhouwer networks (PK-nets), in which we consider diagrams in Rel rather than Sets.We illustrate the potential of relational PK-nets with selected examples, by analyzing pop music and revisiting the work of Douthett–Steinbach and Cohn. Keywords: transformational analysis; category theory; Klumpenhouwer network; PK-net; relation; parsimonious voice leading 2010 Mathematics Subject Classification:00A65;18B10 1.
    [Show full text]
  • Groupoids and Wreath Products of Musical Transformations: a Categorical Approach from Poly-Klumpenhouwer Networks
    GROUPOIDS AND WREATH PRODUCTS OF MUSICAL TRANSFORMATIONS: A CATEGORICAL APPROACH FROM POLY-KLUMPENHOUWER NETWORKS. ALEXANDRE POPOFF, MORENO ANDREATTA, AND ANDREE´ EHRESMANN Abstract. Transformational music theory, pioneered by the work of Lewin, shifts the music-theoretical and analytical focus from the \object-oriented" musical content to an operational musical process, in which transformations between musical elements are emphasized. In the original framework of Lewin, the set of transformations often form a group, with a corresponding group action on a given set of musical objects. Klumpenhouwer networks have been introduced based on this framework: they are informally labelled graphs, the labels of the vertices being pitch classes, and the labels of the arrows being transformations that maps the corresponding pitch classes. Klumpenhouwer networks have been recently formalized and generalized in a categorical setting, called poly-Klumpenhouwer networks. This work proposes a new groupoid- based approach to transformational music theory, in which transformations of PK-nets are considered rather than ordinary sets of musical objects. We show how groupoids of musical transformations can be constructed, and an application of their use in post-tonal music analysis with Berg's Four pieces for clarinet and piano, Op. 5/2. In a second part, we show how groupoids are linked to wreath products (which feature prominently in transformational music analysis) through the notion groupoid bisections. 1. Groupoids of musical transformations The recent field of transformational music theory, pioneered by the work of Lewin [Lew82, Lew87], shifts the music-theoretical and analytical focus from the \object- oriented" musical content to an operational musical process. As such, transforma- tions between musical elements are emphasized, rather than the musical elements themselves.
    [Show full text]
  • Klumpenhouwer Networks, Isography, and the Molecular Metaphor
    Klumpenhouwer Networks, Isography, and the Molecular Metaphor Shaugn O'Donnell David Lewin formally introduces Klumpenhouwer networks (henceforth K-nets) to music theorists in the article "Klumpenhouwer Networks and Some Isographies that Involve Them."1 He presents K-nets as a variation of what I call Lewin networks (henceforth L-nets), which are networks of pitch classes related by transposition. L-nets articulate the dynamic nature of a set's internal structure by interpreting it as a web of transpositions rather than a static collection of pitch classes. This interpretation not only highlights a set's inherent ability to be a transformational model for subsequent musical gestures, but also allows numerous graphic possibilities for representing a single pitch-class set as shown in Example 1. Example 1. All eight L-nets modeling[0l3]. T T T T u/t, tA/t3 t\A3 t\a3 © © © © T T T T @ - ^© @* @ @ >(n) @« 10 ffi) vi^/ v~y vL/ vc/ One might consider each of these networks to be a specific interpretation of [013]'s interval-class vector, emphasizing *Lewin, "Klumpenhouwer Networks and Some Isographies that Involve Them," Music Theory Spectrum 12/1 (1990): 83-120. Henry Klumpenhouwer first developed K-nets during his work on "A Generalized Model of Voice- Leading for Atonal Music** (Ph.D. dissertation, Harvard University, 1991). This content downloaded from 128.151.124.135 on Fri, 15 Mar 2019 15:29:41 UTC All use subject to https://about.jstor.org/terms 54 Integral particular transformations within the set.2 In the most abstract sense, Klumpenhouwer expands Lewin's network model by allowing inversion operations within transformation networks.
    [Show full text]
  • RMA Music and Philosophy Study Group 2017 People
    RMA Music and Philosophy Study Group 2017 The Royal Musical Association Music and Philosophy Study Group was established in May 2010. Its aim is: To provide a distinctive long-term forum offering opportunities for those with an interest in music and philosophy to share and discuss work, in the hope of furthering dialogue in this area. We plan to work towards this goal through four courses of activity: (i) A regular multi-day conference (ii) A series of smaller events (iii) A presence at other events (iv) An on-line presence centered around a website, mailing list, and social media People The Study Group is currently run by a seven person Committee consisting of: Tomas McAuley (University of Cambridge), Chair Andrew Huddleston (Birkbeck, University of London), Treasurer Nanette Nielsen (University of Oslo), Secretary Hannah Templeton (King’s College London), Events Coordinator Jeremy Coleman (University of Aberdeen), Communications Julian Johnson (Royal Holloway, University of London), Advisory Member Derek Matravers (Open University), Advisory Member The Study Group Committee are joined on this year's Conference Committee by: Gintaré Stankeviciute, Acting Events Coordinator (Local Arrangements) Oren Vinogradov (University of North Carolina at Chapel Hill), Digital Media Editor Sacha Golob (King’s College London), KCL Philosophy Representative The Study Group Committee is being supported by the following students: Koto Akiyoshi (King’s College London) Nicola Chang (King’s College London) Madeleine Macdonald (King’s College London) Sara
    [Show full text]