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Algorithms to Assess Music Cities: Case Studya??Melbourne as a Music Capital

机译:评估音乐城市的算法:案例研究-墨尔本作为音乐之都

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The global Mastering of a Music City report in 2015 notes that the concept of music cities has penetrated the global political vernacular because it delivers a??significant economic, employment, cultural and social benefits.a?? This article highlights that no empirical study has combined all these values and offers a relevant and comprehensive definition of a music city. Drawing on industry research,1 the article assesses how mathematical flowcharts, such as Algorithm A (Economics), Algorithm B (Four Ta??s creative index), and Algorithm C (Heritage), have contributed to the definition of a music city. Taking Melbourne as a case study, it illustrates how Algorithms A and B are used as disputed evidence about whether the city is touted as Australiaa??s music capital. The article connects the three algorithms to an academic framework from musicology, urban studies, cultural economics, and sociology, and proposes a benchmark Algorithm D (Music Cities definition), which offers a more holistic assessment of music activity in any urban context. The article concludes by arguing that Algorithm D offers a much-needed definition of what comprises a music city because it builds on the popular political economy focus and includes the social importance of space and cultural practices.
机译:2015年的《全球音乐之城掌握情况》报告指出,音乐之城的概念已渗透到全球政治领域,因为它带来了“显着的经济,就业,文化和社会效益”。本文着重指出,没有任何经验研究将所有这些价值结合起来,并提供了有关音乐之城的相关且全面的定义。借助行业研究[1],本文评估了数学流程图,例如算法A(经济),算法B(四个Ta的创意指数)和算法C(遗产)如何对音乐城市的定义做出了贡献。以墨尔本为例,它说明了如何使用算法A和B作为有关该城市是否被吹捧为澳大利亚音乐之都的有争议证据。本文将这三种算法与音乐学,城市研究,文化经济学和社会学的学术框架联系起来,并提出了基准算法D(音乐城市定义),该算法可对任何城市背景下的音乐活动进行更全面的评估。本文的结论是,算法D为组成音乐之城提供了非常必要的定义,因为它建立在流行的政治经济学焦点之上,并包括空间和文化实践的社会重要性。

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