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Journal article

Game of Thrones: music in complex TV

Abstract:
The past thirty years of American TV has seen the rise of what television scholar Jason Mittell terms ‘Complex TV’. Exemplified by The Sopranos (HBO) and The X-Files (Fox), these are TV series that prioritise narrative complexity, balancing between serial and episodic storytelling modes. These shows do not prioritise self-contained, stand-alone episodes that can be easily rerun in any order. Instead, they assume a regular and dedicated viewership that allows them to adopt continuing storylines over the course of a season, sometimes several seasons. This article explores the role that music plays in this serialized form, using Ramin Djawadi’s score for Game of Thrones as its focus. I argue that complex TV uniquely combines four characteristics that impact on how music functions: first, the existence of multiple narratives, sometimes with hundreds of named characters; second, catering to multiple regular viewerships with different expected levels of engagement; third, extended running hours allowing for nuanced and sustained character development; and fourth, encouraging narrative innovation in order to keep viewers engaged. I suggest eight ways in which Djawadi’s music is shaped by the demands of the medium, arguing that Djawadi’s music is central to the show’s unprecedented success, and crucial for helping viewers to orientate themselves within the Game of Thrones world.
Publication status:
Published
Peer review status:
Peer reviewed

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Publication website:
https://muse.jhu.edu/article/751015

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Institution:
University of Oxford
Division:
HUMS
Department:
Music Faculty
Oxford college:
Christ Church
Role:
Author


Publisher:
University of Illinois Press
Journal:
Music and the Moving Image More from this journal
Volume:
13
Issue:
1
Pages:
21-42
Publication date:
2020-03-13
Acceptance date:
2019-07-14
ISSN:
1940-7610


Language:
English
Pubs id:
pubs:1078027
UUID:
uuid:bd1fa4ed-aa2e-4db5-83bc-1958c1157aa1
Local pid:
pubs:1078027
Source identifiers:
1078027
Deposit date:
2019-12-16
ARK identifier:

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