Black Boxes: Flat Worlds, Automated Subjects, and the Air France 447 Disaster.

When Air France flight 447 was lost in the Atlantic in 2009, stories about the disaster were initially set in the real space of the sky and ocean. Journalists and investigators searched for clues to a reality hidden in the depths of the sea. After the discovery of the aircraft's 'black box' flight r...

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Publicado en:Social Analysis Vol. 69; no. 1; pp. 1 - 25
Autor principal: Rollason, Will
Formato: Artículo
Publicado: Berghahn Books 2025
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Black Boxes: Flat Worlds, Automated Subjects, and the Air France 447 Disaster.
      aug:
        au: Rollason, Will
        affil: Senior Lecturer, University of London, UK
      su:
        Air France Flight 447 Crash, 2009
        Flight recorders
        Aircraft accident investigation
        Airways (Aeronautics)
        Scientific method
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          Air France Flight 447 Crash, 2009
          Flight recorders
          Aircraft accident investigation
          Airways (Aeronautics)
          Scientific method
      keyword:
        assemblage
        automatic systems
        conceptual morphology
        network
        subjectivity
        technology
        assemblage
        automatic systems
        conceptual morphology
        network
        subjectivity
        technology
      ab: When Air France flight 447 was lost in the Atlantic in 2009, stories about the disaster were initially set in the real space of the sky and ocean. Journalists and investigators searched for clues to a reality hidden in the depths of the sea. After the discovery of the aircraft's 'black box' flight recorders two years later, the volumes that had governed earlier narratives were replaced by network imagery spreading over a flat plane. This article explores the agency of the flight recorders in producing this narrative shift. It uses that insight to argue that the conceptual spaces of contemporary life may have a patchy quality, and thus that social scientific methodologies based on network imagery may not be universally applicable.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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