In Andrew Hamilton (ed.), The Evolution of Phylogenetic Systematics. University of California Press. pp. 213-244 (2014)
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Abstract |
What does it look like when a group of scientists set out to re-envision an entire field of biology in symbolic and formal terms? I analyze the founding and articulation of Numerical Taxonomy between 1950 and 1970, the period when it set out a radical new approach to classification and founded a tradition of mathematics in systematic biology. I argue that introducing mathematics in a comprehensive way also requires re-organizing the daily work of scientists in the field. Numerical taxonomists sought to establish a mathematical method for classification that was universal to every type of organism, and I argue this intrinsically implicated them in a qualitative re-organization of the work of all systematists. I also discuss how Numerical Taxonomy’s re-organization of practice became entrenched across systematic biology even as opposing schools produced their own competing mathematical methods. In this way, the structure of the work process became more fundamental than the methodological theories that motivated it.
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Keywords | History and Philosophy of Science Philosophy of Biology Statistics Numerical Taxonomy Classification Problem Structures Problem Solving Systematics Phenetics Herbert Simon |
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References found in this work BETA
The Structure of Scientific Revolutions.Thomas Samuel Kuhn - 1962 - Chicago: University of Chicago Press.
Re-Engineering Philosophy for Limited Beings: Piecewise Approximations to Reality.William C. Wimsatt - 2007 - Harvard University Press.
Image and Logic: A Material Culture of Microphysics.Peter Galison (ed.) - 1997 - University of Chicago Press: Chicago.
Science as a Process an Evolutionary Account of the Social and Conceptual Development of Science.David L. Hull - 1988 - University of Chicago Press.
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Citations of this work BETA
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“I would sooner die than give up”: Huxley and Darwin's deep disagreement.Mary P. Winsor - 2021 - History and Philosophy of the Life Sciences 43 (2):1-36.
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