Categorising Electronic Music.
When seemingly automated technologies display biases usually defined as discriminatory human behaviours, these tendencies are referred to collectively as 'sociotechnical bias'. In this article, I explore facets of racial and gendered sociotechnical bias apparent in the musical categorisation strateg...
| Publicado en: | Contemporary Music Review Vol. 39; no. 2; pp. 231 - 252 |
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| Formato: | Artículo |
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Taylor & Francis Ltd
Apr2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=145732286&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 145732286 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 07494467 7VR jtl: Contemporary Music Review issn: 07494467 maglogo: N pubinfo: dt: Apr2020 vid: 39 iid: 2 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 145732286 10.1080/07494467.2020.1806628 ppf: 231 ppct: 21 formats: fmt: – @attributes: type: T – @attributes: type: P size: 649KB tig: atl: Categorising Electronic Music. aug: au: Sofer, Danielle su: Digital humanities Sex discrimination Database administration Computer science Electronic music sug: subj: Digital humanities Sex discrimination Database administration Computer science Electronic music keyword: Categorisation Electroacoustic Electronic Music Gender Modularity Race ab: When seemingly automated technologies display biases usually defined as discriminatory human behaviours, these tendencies are referred to collectively as 'sociotechnical bias'. In this article, I explore facets of racial and gendered sociotechnical bias apparent in the musical categorisation strategies of the database Répertoire International de Littérature Musicale Abstracts of Musical Literature (1967–present only)—or RILM. The article shows how concerns about sociotechnical transparency raised in the digital humanities and computer science are also embedded in musical technologies to advocate for greater awareness and action regarding implicit biases currently operating in musical spheres. The article finds that shared technology among many kinds of electronic music facilitates a kind of musical 'code-switching' across genres that, if attuned to appropriately in database administration and keyword designations, would minimise racializing and gendering biases in electronic music categorisation. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Contemporary Music Review is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Contemporary Music Review holder: Taylor & Francis Ltd dt: @attributes: year: 2020 holdings: @attributes: islocal: N |
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