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

Author:

Christensen Julia F.1ORCID,Khorsandi Shahrzad2ORCID,Wald‐Fuhrmann Melanie3ORCID

Affiliation:

1. Department of Cognitive Neuropsychology Max Planck Institute for Empirical Aesthetics Frankfurt/M Germany

2. Shahrzad Dance Academy Richmond California USA

3. Department of Music Max Planck Institute for Empirical Aesthetics Frankfurt/M Germany

Abstract

AbstractDance 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 Informed by several sources, including primary sources (original, historical documents, and oral reports, such as interviews with practitioners and academic scholars of Iranian dance genres) and secondary sources (research literature), we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.

Funder

Max-Planck-Gesellschaft

British Academy

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3