Allison Pugh

Allison Pugh

Sociologist; 2019-2020 Berggruen Fellow

Biography

Allison Pugh is Professor of Sociology at the University of Virginia. During the Berggruen Fellowship year, she will be writing a book about the standardization – and automation – of work that relies on relationship. Her research, supported by the National Science Foundation, has taken her from observing therapy sessions in Virginia to juvenile detention classrooms in California to robots in Japan.She is the author of The Tumbleweed Society: Working and Caring in an Age of Insecurity (2015), a study of the effects of job precariousness on intimate life, and the editor of Beyond the Cubicle: Job Insecurity, Intimacy and the Flexible Self (2016). Her first book, Longing and Belonging: Parents, Children, and Consumer Culture (2009), won multiple awards and was widely reviewed. In 2016-17, Pugh served as a fellow of the American Council of Learned Societies and of the Center for Advanced Study in the Behavioral Sciences at Stanford. She has been a visiting scholar in Germany, France and Australia, and her writing on work, relationships and inequality has appeared in The New Yorker, The New York Times, The New Republic and other outlets.


composed by Arswain
machine learning consultation by Anna Tskhovrebov
commissioned by the Berggruen Institute
premiered at the Bradbury Building
downtown Los Angeles
april 22, 2022

Human perception of what sounds “beautiful” is necessarily biased and exclusive. If we are to truly expand our hearing apparatus, and thus our notion of beauty, we must not only shed preconceived sonic associations but also invite creative participation from beings non-human and non-living. We must also begin to cede creative control away from ourselves and toward such beings by encouraging them to exercise their own standards of beauty and collaborate with each other.

Movement I: Alarm Call
‘Alarm Call’ is a long-form composition and sound collage that juxtaposes, combines, and manipulates alarm calls from various human, non-human, and non-living beings. Evolutionary biologists understand the alarm call to be an altruistic behavior between species, who, by warning others of danger, place themselves by instinct in a broader system of belonging. The piece poses the question: how might we hear better to broaden and enhance our sense of belonging in the universe? Might we behave more altruistically if we better heed the calls of – and call out to – non-human beings?

Using granular synthesis, biofeedback, and algorithmic modulation, I fold the human alarm call – the siren – into non-human alarm calls, generating novel “inter-being” sonic collaborations with increasing sophistication and complexity. 

Movement II: A.I.-Truism
A synthesizer piece co-written with an AI in the style of Vangelis’s Blade Runner score, to pay homage to the space of the Bradbury Building.

Movement III: Alarmism
A machine learning model “learns” A.I.Truism and recreates Alarm Call, generating an original fusion of the two.

Movement IV: A.I. Call
A machine learning model “learns” Alarm Call and recreates A.I.Truism, generating an original fusion of the two.


RAVE (IRCAM 2021) https://github.com/acids-ircam/RAVE