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Accumulation of knowledge in para-scientific areas: the case of analytic philosophy

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  • Eugenio Petrovich

    (University of Milan)

Abstract

This study analyzes how the accumulation of knowledge takes place in para-scientific areas, focusing on the case of Analytic Philosophy. The theoretical framework chosen for the analysis is Kuhn’s theory of normal science. The methodology employed is qualitative citation context analysis. A sample of 60 papers published in leading Analytic Philosophy journals between 1950 and 2009 is analyzed, and a specific classificatory scheme is developed to classify citations according to their epistemological function. Compared to previous studies of citation context, this is the first paper that includes the temporal dimension into the analysis of citation context, in order to gain insights into the process of knowledge accumulation. Interestingly, the results show that Analytic Philosophy started accumulating after Second World War, but in a peculiar way. The accumulation was not matched by a corresponding rising consensus. This can be explained by the hypothesis that AP underwent a process of fragmentation in sub-fields during the second half of the century.

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  • Eugenio Petrovich, 2018. "Accumulation of knowledge in para-scientific areas: the case of analytic philosophy," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 1123-1151, August.
    • Handle: RePEc:spr:scient:v:116:y:2018:i:2:d:10.1007_s11192-018-2796-5
    DOI: 10.1007/s11192-018-2796-5
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    1. Eugenio Petrovich, 2018. "Reply to Wray," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 651-654, October.
    2. Lutz Bornmann & K. Brad Wray & Robin Haunschild, 2020. "Citation concept analysis (CCA): a new form of citation analysis revealing the usefulness of concepts for other researchers illustrated by exemplary case studies including classic books by Thomas S. K," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 1051-1074, February.
    3. K. Brad Wray, 2018. "A note on measuring normal science," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 647-650, October.

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