Search (3 results, page 1 of 1)

  • × author_ss:"Bowker, G.C."
  • × type_ss:"a"
  1. Bowker, G.C.: ¬The kindness of strangers : kinds and politics in classification systems (1998) 0.00 
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    Abstract
    This article offers a formal reading of a classification scheme of international scope and long duration: the International Classification of Diseases (ICD). The argument is made that this classification scheme retains many traces of its own administrative and organizational past in its current form. Further, it is argued that such traces operate normatively to favor certain kinds of narrative of medical treatment while denying others. It is suggested that the ICD, like other large-scale classification systems, is able to do its work so effectively precisely because these traces permit a coupling of classification scheme and organizational form.
    Type
    a
  2. Bowker, G.C.: ¬The history of information infrastructures : the case of the International Classification of Diseases (1996) 0.00 
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    Abstract
    Explores ways of wrting the history of information infrastructures. As an example looks at the construction of the universal medical classification: the International Classification of Diseases. Discusses the case of medical classifications, medical classification and the state, and medical classification and information processing. A fundamental figure/ground problem emerges in the analysis of information infrastructures. The medical classification system is historically contingent both with respect to its political origins and technological underpinnings
    Type
    a
  3. Ibekwe-SanJuan, F.; Bowker, G.C.: Implications of big data for knowledge organization (2017) 0.00 
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    Abstract
    In this paper, we propose a high-level analysis of the implications of big data for knowledge organisation (KO) and knowledge organisation systems (KOSs). We confront the current debates within the KO community about the relevance of universal bibliographic classifications and the thesaurus in the web with the ongoing discussions about the epistemological and methodological assumptions underlying data-driven inquiry. In essence, big data will not remove the need for humanly-constructed KOSs. However, ongoing transformations in knowledge production processes entailed by big data and Web 2.0 put pressure on the KO community to rethink the standpoint from which KOSs are designed. Essentially, the field of KO needs to move from laying down the apodictic (that which we know for all time) to adapting to the new world of social and natural scientific knowledge by creating maximally flexible schemas-faceted rather than Aristotelean classifications. KO also needs to adapt to the changing nature of output in the social and natural sciences, to the extent that these in turn are being affected by the advent of big data. Theoretically, this entails a shift from purely universalist and normative top-down approaches to more descriptive bottom-up approaches that can be inclusive of diverse viewpoints. Methodologically, this means striking the right balance between two seemingly opposing modalities in designing KOSs: the necessity on the one hand to incorporate automated techniques and on the other, to solicit contributions from amateurs (crowdsourcing) via Web 2.0 platforms.
    Type
    a

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