JOHANNA FATEMAN.

The author discusses the role of technology in her work as an artist and musician and mentions the use of the Akai MPC60 sampling drum machine, incorporating digital artifacts in her music, and technology's alteration of the collaborative dynamic of her band Le Tigre.

Bibliographic Details
Published in:Brooklyn Rail p. 92
Format: Article
Published: Brooklyn Rail Mar2015
Subjects:
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=101354275&site=ehost-live
header:
  @attributes:
    shortDbName: hlh
    uiTerm: 101354275
    longDbName: Humanities International Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    jinfo:
      jid:
        21572151
        GZH2
      jtl: Brooklyn Rail
      issn: 21572151
      maglogo: N
    pubinfo:
      dt: Mar2015
      pid: 76398
      pub: Brooklyn Rail
    artinfo:
      ui: 101354275
      ppf: 92
      ppct: 0
      formats:
        fmt:
          @attributes:
            type: P
            size: 830KB
      tig:
        atl: JOHANNA FATEMAN.
      aug:
      su:
        Music & technology
        Musical composition
        Equipment & supplies
      sug:
        subj:
          Music & technology
          Musical composition
          Equipment & supplies
      ab: The author discusses the role of technology in her work as an artist and musician and mentions the use of the Akai MPC60 sampling drum machine, incorporating digital artifacts in her music, and technology's alteration of the collaborative dynamic of her band Le Tigre.
      pubtype: Periodical
      doctype: Article
      src: R
    language: English
    refInfo:
    copyright:
      @attributes:
        flag: Y
      custom: Copyright of Brooklyn Rail is the property of Brooklyn Rail 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: Brooklyn Rail
      holder: Brooklyn Rail
      dt:
        @attributes:
          year: 2015
    holdings:
      @attributes:
        islocal: N