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  1. Exploration and exploitation of Victorian science in Darwin’s reading notebooks.Jaimie Murdock, Colin Allen & Simon DeDeo - 2017 - Cognition 159 (C):117-126.
    Search in an environment with an uncertain distribution of resources involves a trade-off between exploitation of past discoveries and further exploration. This extends to information foraging, where a knowledge-seeker shifts between reading in depth and studying new domains. To study this decision-making process, we examine the reading choices made by one of the most celebrated scientists of the modern era: Charles Darwin. From the full-text of books listed in his chronologically-organized reading journals, we generate topic models to quantify his local (...)
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  • ‘‘Describing our whole experience’’: The statistical philosophies of W. F. R. Weldon and Karl Pearson.Charles H. Pence - 2011 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 42 (4):475-485.
    There are two motivations commonly ascribed to historical actors for taking up statistics: to reduce complicated data to a mean value (e.g., Quetelet), and to take account of diversity (e.g., Galton). Different motivations will, it is assumed, lead to different methodological decisions in the practice of the statistical sciences. Karl Pearson and W. F. R. Weldon are generally seen as following directly in Galton’s footsteps. I argue for two related theses in light of this standard interpretation, based on a reading (...)
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  • evoText: A new tool for analyzing the biological sciences.Grant Ramsey & Charles H. Pence - 2016 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 57:83-87.
    We introduce here evoText, a new tool for automated analysis of the literature in the biological sciences. evoText contains a database of hundreds of thousands of journal articles and an array of analysis tools for generating quantitative data on the nature and history of life science, especially ecology and evolutionary biology. This article describes the features of evoText, presents a variety of examples of the kinds of analyses that evoText can run, and offers a brief tutorial describing how to use (...)
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  • Why Most Published Research Findings Are False.John P. A. Ioannidis - 2005 - PLoS Med 2 (8):e124.
    Published research findings are sometimes refuted by subsequent evidence, says Ioannidis, with ensuing confusion and disappointment.
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