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学術論文

Iranian classical dance as a subject for empirical research: An elusive genre

MPS-Authors
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Christensen,  Julia F.       
Department of Cognitive Neuropsychology, Max Planck Institute for Empirical Aesthetics, Max Planck Society;

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Wald-Fuhrmann,  Melanie       
Department of Music, Max Planck Institute for Empirical Aesthetics, Max Planck Society;

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kog-24-chr-01-iranian.pdf
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引用

Christensen, J. F., Khorsandi, S., & Wald-Fuhrmann, M. (2024). Iranian classical dance as a subject for empirical research: An elusive genre. Annals of the New York Academy of Sciences, 1533(1), 51-72. doi:10.1111/nyas.15098.


引用: https://hdl.handle.net/21.11116/0000-000E-5EF5-5
要旨
Dance has entered mainstream empirical research: dance as an experimental stimulus, and dancers as movement experts. Informed by several sources, including primary sources (original, historical documents, and oral reports, such as interviews with practitioners and academic scholars of Iranian dance genres) and secondary sources (research literature), we describe what we label “Iranian classical dance” within this paper as an important resource for empirical research, not only in humanities scholarship but also, and importantly, for empirical aesthetics, emotion psychology, cross-cultural psychology, and affective neuroscience. For this purpose, we (1) describe the aesthetics, characteristics, and history of Iranian classical dance; (2) outline issues of definition and systematization; and (3) give an overview of the cultural complexities and sociopolitical issues regarding Iranian classical dance in the past 40 years, which have shaped its current form. After the political revolution of 1979 (Iranian solar calendar year: 1358), dance in Iran—both as everyday practice and as a cultural heritage—was first forbidden, and now remains heavily restricted. International, interdisciplinary research teams can contribute to safeguarding Iranian classical dance in the future by firmly enshrining it into empirical research on human dance. We outline empirical research perspectives on Iranian classical dance, dataset resources, and expert communities.