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Well-Structured Biology: Numerical Taxonomy's Epistemic Vision for Systematics

In Andrew Hamilton (ed.), Patterns in Nature. University of California Press. pp. 213-244 (2014)

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  1. “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.
    Thomas Henry Huxley and Charles Darwin discovered in 1857 that they had a fundamental disagreement about biological classification. Darwin believed that the natural system should express genealogy while Huxley insisted that classification must stand on its own basis, independent of evolution. Darwin used human races as a model for his view. This private and long-forgotten dispute exposes important divisions within Victorian biology. Huxley, trained in physiology and anatomy, was a professional biologist while Darwin was a gentleman naturalist. Huxley agreed with (...)
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  • Moving Past the Systematics Wars.Beckett Sterner & Scott Lidgard - 2018 - Journal of the History of Biology 51 (1):31-67.
    It is time to escape the constraints of the Systematics Wars narrative and pursue new questions that are better positioned to establish the relevance of the field in this time period to broader issues in the history of biology and history of science. To date, the underlying assumptions of the Systematics Wars narrative have led historians to prioritize theory over practice and the conflicts of a few leading theorists over the less-polarized interactions of systematists at large. We show how shifting (...)
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  • Phylogenetic Inference and the Misplaced Premise of Substitution Rates.Kirk Fitzhugh - 2021 - Acta Biotheoretica 69 (4):799-819.
    Three competing ‘methods’ have been endorsed for inferring phylogenetic hypotheses: parsimony, likelihood, and Bayesianism. The latter two have been claimed superior because they take into account rates of sequence substitution. Can rates of substitution be justified on its own accord in inferences of explanatory hypotheses? Answering this question requires addressing four issues: (1) the aim of scientific inquiry, (2) the nature of why-questions, (3) explanatory hypotheses as answers to why-questions, and (4) acknowledging that neither parsimony, likelihood, nor Bayesianism are inferential (...)
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