3 research outputs found

    Eat what you hear: Gustasonic discourses and the material culture of commercial sound recording

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    This article analyzes discursive linkages between acts of listening and eating within a combined multisensory regime that the authors label the gustasonic. Including both marketing discourses mobilized by the commercial music industry and representations of record consumption in popular media texts, gustasonic discourses have shaped forms and experiences of recorded sound culture from the gramophone era to the present. The authors examine three prominent modalities of gustasonic discourse: (1) discourses that position records as edible objects for physical ingestion; (2) discourses that preserve linkages between listening and eating but incorporate musical recordings into the packaging of other foodstuffs; and (3) discourses of gustasonic distinction that position the listener as someone with discriminating taste. While the gustasonic on one hand serves as an aid to consumerism, it can also cultivate a countervailing collecting impulse that resists music’s commodity status and inscribes sound recording within alternative systems of culture value

    Building the National Radio Recordings Database: A Big Data Approach to Documenting Audio Heritage

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    This paper traces strategies used by the Radio Preservation Task Force of the Library of Congress's National Recording Preservation Board to develop a publicly searchable database documenting extant radio materials held by collecting institutions throughout the country. Having aggregated metadata on 2,500 unique collections to date, the project has encountered a series of logistical challenges that are not only technical in nature but also institutional and social, raising critical issues involving organizational structure, political representation, and the ethics of data access. As the project continues to expand and evolve, lessons from its early development offer valuable reminders of the human judgment, hidden labor, and interpersonal relations required for successful big data work.Comment: 7 pages; accepted by 4th Computational Archival Science (CAS) workshop, IEEE Big Data 201
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