Electronic Resource

Motivic Unity in Schubert’s Winterreise

التفاصيل البيبلوغرافية
العنوان: Motivic Unity in Schubert’s Winterreise
المؤلفون: Emmerson, Stephen, Massingham, Gregory, Leigh, Mitchell Mark
بيانات النشر: Griffith University Brisbane 2017
نوع الوثيقة: Electronic Resource
مستخلص: Full Text
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
Quensland Conservatorium
Arts, Education and Law
This thesis comprises a detailed motivic analysis of Schubert’s song cycle Winterreise. It consists of eight chapters. The introduction explains the rationale underlying the thesis; although numerous songs from Winterreise have been previously analysed in detail and found to have considerable motivic coherence, no clear tonal or motivic plan to the cycle as a whole has yet been identified. In contrast, numerous authorities have identified a high level of motivic coherence and unity in many of Schubert’s other major songs and instrumental works. The thesis investigates whether such a structure exists for the whole of Winterreise rather than only in individual songs. The introduction also briefly explains the methodology to be used. Chapter 2 provides background on what actually defines a set of songs as being a cycle and also discusses existing scholarly research undertaken on Schubert’s other major cycle Die Schöne Müllerin, composed four years prior to Winterreise. In addition, the motivic unity of some other significant works by Schubert, both vocal and instrumental, is investigated.
مصطلحات الفهرس: Motivic unity, Franz Schubert, Franz, 1797-1828, Schubert’s song cycle Winterreise, Die Schöne Müllerin, Griffith thesis
الاتاحة: Open access content. Open access content
The author owns the copyright in this thesis, unless stated otherwise.
The author owns the copyright in this thesis, unless stated otherwise.
ملاحظة: application/pdf
English
Other Numbers: LG0 oai:research-repository.griffith.edu.au:10072/365576
10.25904/1912/619
1327827972
المصدر المساهم: GRIFFITH UNIV
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رقم الانضمام: edsoai.on1327827972
قاعدة البيانات: OAIster