healing dance
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Science ◽  
2019 ◽  
Vol 366 (6468) ◽  
pp. eaax0868 ◽  
Author(s):  
Samuel A. Mehr ◽  
Manvir Singh ◽  
Dean Knox ◽  
Daniel M. Ketter ◽  
Daniel Pickens-Jones ◽  
...  

What is universal about music, and what varies? We built a corpus of ethnographic text on musical behavior from a representative sample of the world’s societies, as well as a discography of audio recordings. The ethnographic corpus reveals that music (including songs with words) appears in every society observed; that music varies along three dimensions (formality, arousal, religiosity), more within societies than across them; and that music is associated with certain behavioral contexts such as infant care, healing, dance, and love. The discography—analyzed through machine summaries, amateur and expert listener ratings, and manual transcriptions—reveals that acoustic features of songs predict their primary behavioral context; that tonality is widespread, perhaps universal; that music varies in rhythmic and melodic complexity; and that elements of melodies and rhythms found worldwide follow power laws.



2018 ◽  
Author(s):  
Samuel A Mehr ◽  
Manvir Singh ◽  
Dean Knox ◽  
Daniel Ketter ◽  
Daniel Pickens-Jones ◽  
...  

What is universal about music across human societies, and what varies? We built a corpus of ethnographic text on musical behavior from a representative sample of the world’s societies and a discography of audio recordings of the music itself. The ethnographic corpus reveals that music appears in every society observed; that variation in musical behavior is well-characterized by three dimensions, which capture the formality, arousal, and religiosity of song events; that musical behavior varies more within societies than across societies on these dimensions; and that music is regularly associated with behavioral contexts such as infant care, healing, dance, and love. The discography, analyzed through four representations (machine summaries, listener ratings, expert annotations, expert transcriptions), revealed that identifiable acoustic features of songs predict their primary behavioral function worldwide, and that these features fall along two dimensions, melodic and rhythmic complexity. These analyses show how applying the tools of computational social science to rich bodies of humanistic data can reveal both universal features and patterns of variability in culture, addressing longstanding debates about each.





Art Therapy ◽  
2014 ◽  
Vol 31 (1) ◽  
pp. 45-46
Author(s):  
Lisa D. Hinz




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