JOURNAL ARTICLE
Exploring Santa Barbara in Sound: The Intersection of Music, Place, and Materiality in Emma Lou Diemer's Santa Barbara Overture.
Published In: Material Culture, 2025, v. 57, n. 1/2. P. 1 1 of 3
Database: America: History and Life with Full Text 2 of 3
Authored By: Sciuchetti Jr., Mark Joseph; Huang, Jianping 'Coco' 3 of 3
Abstract
Emma Lou Diemer's Santa Barbara Overture (1995-6) serves as both a musical homage to the city and a sonic map that encodes its geographical, cultural, and historical dimensions. By integrating elements such as mission bells, ragtime rhythms, and pentatonic motifs, Santa Barbara Overture engages with the diverse cultural influences that have shaped the city it evokes. The work's instrumentation, rhythmic structures, and melodic gestures evoke Santa Barbara's sonic environment and engage with its material conditions, including the physical presence of Spanish mission bells and the historical trade networks that brought diverse musical traditions and instruments to the region. The piece functions as a sonic monument, preserving and transmitting the essence of Santa Barbara across time and space. Drawing from archival research, performance analysis, and spatial theory, this article explores how Santa Barbara Overture transforms sound, space, and materiality into an embodied musical representation of place. By positioning the work within broader discourses of music geography, cultural memory, and material culture, this study highlights how music can function as both a repository of memory and an active force in shaping perceptions of place. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Material Culture. 2025/09, Vol. 57, Issue 1/2, p1
- Document Type:Article
- Subject Area:Music
- Publication Date:2025
- ISSN:0883-3680
- Accession Number:191965052
- Copyright Statement:Copyright of Material Culture is the property of International Society for Landscape, Place, & Material Culture and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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