17 found
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  1.  4
    Unsupervised by Any Other Name: Hidden Layers of Knowledge Production in Artificial Intelligence on Social Media.Geoffrey C. Bowker & Anja Bechmann - 2019 - Big Data and Society 6 (1).
    Artificial Intelligence in the form of different machine learning models is applied to Big Data as a way to turn data into valuable knowledge. The rhetoric is that ensuing predictions work well—with a high degree of autonomy and automation. We argue that we need to analyze the process of applying machine learning in depth and highlight at what point human knowledge production takes place in seemingly autonomous work. This article reintroduces classification theory as an important framework for understanding such seemingly (...)
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  2.  8
    Prospecting (in) the Data Sciences.Stephen C. Slota, Andrew S. Hoffman, David Ribes & Geoffrey C. Bowker - 2020 - Big Data and Society 7 (1).
    Data science is characterized by engaging heterogeneous data to tackle real world questions and problems. But data science has no data of its own and must seek it within real world domains. We call this search for data “prospecting” and argue that the dynamics of prospecting are pervasive in, even characteristic of, data science. Prospecting aims to render the data, knowledge, expertise, and practices of worldly domains available and tractable to data science method and epistemology. Prospecting precedes data synthesis, analysis, (...)
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  3.  1
    Making an Issue Out of a Standard: Storytelling Practices in a Scientific Community.Geoffrey C. Bowker, Karen S. Baker, David Ribes & Florence Millerand - 2013 - Science, Technology, and Human Values 38 (1):7-43.
    The article focuses on stories and storytelling practices as explanatory resources in standardization processes. It draws upon an ethnographic study of the development of a technical standard for data sharing in an ecological research community, where participants struggle to articulate the difficulties encountered in implementing the standard. Building from C. Wright Mills’ classic distinction between private troubles and public issues, the authors follow the development of a story as it comes to assist in transforming individual troubles in standard implementation into (...)
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  4. How Things (Actor-Net) Work: Classification, Magic and the Ubiquity of Standards.Geoffrey C. Bowker & Susan Leigh Star - 1996 - Philosophia: tidsskrift for filosofi 25 (3-4):195-220.
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  5.  66
    Enacting Silence: Residual Categories as a Challenge for Ethics, Information Systems, and Communication. [REVIEW]Susan Leigh Star & Geoffrey C. Bowker - 2007 - Ethics and Information Technology 9 (4):273-280.
    Residual categories are those which cannot be formally represented within a given classification system. We examine the forms that residuality takes within our information systems today, and explore some silences which form around those inhabiting particular residual categories. We argue that there is significant ethical and political work to be done in exploring residuality.
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  6.  6
    4. All Together Now: Synchronization, Speed, and the Failure of Narrativity.Geoffrey C. Bowker - 2014 - History and Theory 53 (4):563-576.
  7.  46
    Instrumentalizing the Truth of Practice.Katie Vann & Geoffrey C. Bowker - 2001 - Social Epistemology 15 (3):247-262.
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  8.  8
    Benoît Godin. Measurement and Statistics on Science and Technology: 1920 to the Present. Xx + 360 Pp., Apps., Index. London/New York: Routledge, 2004. [REVIEW]Geoffrey C. Bowker - 2007 - Isis 98 (2):403-404.
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  9. Book Review: Barcoding Nature: Shifting Cultures of Taxonomy in an Age of Biodiversity Loss. [REVIEW]Geoffrey C. Bowker - 2014 - Science, Technology, and Human Values 39 (5):759-761.
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  10.  19
    Constructing Science, Forging Technology and Manufacturing Society.Geoffrey C. Bowker - 1993 - Studies in History and Philosophy of Science Part A 24 (1):147-155.
  11.  5
    Opting for Oil: The Political Economy of Technological Change in the West German Chemical Industry, 1945-1961. Raymond G. Stokes. [REVIEW]Geoffrey C. Bowker - 1996 - Isis 87 (2):392-393.
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  12.  1
    Reflections From Geoffrey Bowker.Geoffrey C. Bowker - 2010 - Science, Technology, and Human Values 35 (5):579-580.
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  13.  1
    Steven Darian. Understanding the Language of Science. Xi + 248 Pp., Bibl., Index. Austin: University of Texas Press, 2003. $60 ; $27.95. [REVIEW]Geoffrey C. Bowker - 2004 - Isis 95 (4):756-757.
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  14. Sorting Things Out: Classification and Its Consequences.Geoffrey C. Bowker & Susan Leigh Star - 2001 - Journal of the History of Biology 34 (1):212-214.
     
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  15.  14
    The Empire of the Future.Geoffrey C. Bowker - 2019 - History and Theory 58 (1):135-147.
  16.  22
    A Miller’s Tale.David Oldroyd, Phil Dowe, Adrian Mackenzie, Alison Bashford, Geoffrey C. Bowker, Alan Chalmers, I. J. Crozier, John Dargavel, Wendy Riemens & Andrew Dowling - 1997 - Metascience 6 (1):105-184.
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  17.  24
    On the Value of "Useless Data": Infrastructures, Biodiversity, and Policy.Steve Slota & Geoffrey C. Bowker - unknown
    As the ability to meaningfully process increasingly large quantities of data has improved, the need for systems to support the aggregation and subsequent use of disparate smaller datasets is correspondingly greater. The GBIF is just one such project among a larger group seeking to aggregate the smaller, focused, and disparate sources of information generated for the work of science. GBIF is simultaneously an effort to coordinate and aggregate digital species occurrence data and digitize natural history collections into a single global-scale (...)
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