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  1. Calibration of laboratory models in population genetics.Robert A. Skipper - 2004 - Perspectives on Science 12 (4):369-393.
    : This paper explores the calibration of laboratory models in population genetics as an experimental strategy for justifying experimental results and claims based upon them following Franklin (1986, 1990) and Rudge (1996, 1998). The analysis provided undermines Coyne et al.'s (1997) critique of Wade and Goodnight's (1991) experimental study of Wright's (1931, 1932) Shifting Balance Theory. The essay concludes by further demonstrating how this analysis bears on Diamond's (1986) claims regarding the weakness of laboratory experiments as evidence, and further how (...)
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  • Kettlewell from an error statisticians's point of view.David Wÿss Rudge - 2001 - Perspectives on Science 9 (1):59-77.
    : Bayesians and error statisticians have relied heavily upon examples from physics in developing their accounts of scientific inference. The present essay demonstrates it is possible to analyze H.B.D. Kettlewell's classic study of natural selection from Deborah Mayo's error statistical point of view (Mayo 1996). A comparison with a previous analysis of this episode from a Bayesian perspective (Rudge 1998) reveals that the error statistical account makes better sense of investigations such as Kettlewell's because it clarifies how core elements in (...)
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  • Calibrating and constructing models of protein folding.Jeffry L. Ramsey - 2007 - Synthese 155 (3):307-320.
    Prediction is more than testing established theory by examining whether the prediction matches the data. To show this, I examine the practices of a community of scientists, known as threaders, who are attempting to predict the final, folded structure of a protein from its primary structure, i.e., its amino acid sequence. These scientists employ a careful and deliberate methodology of prediction. A key feature of the methodology is calibration. They calibrate in order to construct better models. The construction leads to (...)
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  • Manipulating underdetermination in scientific controversy: The case of the molecular clock.Michael R. Dietrich & Robert A. Skipper - 2007 - Perspectives on Science 15 (3):295-326.
    : Where there are cases of underdetermination in scientific controversies, such as the case of the molecular clock, scientists may direct the course and terms of dispute by playing off the multidimensional framework of theory evaluation. This is because assessment strategies themselves are underdetermined. Within the framework of assessment, there are a variety of trade-offs between different strategies as well as shifting emphases as specific strategies are given more or less weight in assessment situations. When a strategy is underdetermined, scientists (...)
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  • How Did Kettlewell’s Experiment End?David Rudge - unknown
    The past quarter century has seen an enormous growth of interest among scholars of science and technology in both particular experimental episodes and the process of experimentation. Among the most influential accounts have been those developed by Allan Franklin (1986, 1990), Deborah Mayo (1996) and Peter Galison (1987), each of which was developed primarily with reference to examples drawn from the history of physics. One useful way to access the generality of an account of experiment is to see how it (...)
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  • Dangerous Habits: Examining the Philosophical Baggage of Biological Research.Massimo Pigliucci - 2003 - Dissertation, The University of Tennessee
    Science is about conceptualizing the natural world in a way that can be understood by human beings while at the same time reflecting as much as possible what we can empirically infer about how the world actually is. Among the crucial tools that allow scientists to formulate hypotheses and to contribute to a progressive understanding of nature are the use of imagery and metaphors, on the one hand, and the ability to assume certain starting points on which to build new (...)
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  • Population genetics.Roberta L. Millstein & Robert A. Skipper - 2006 - In David L. Hull & Michael Ruse (eds.), The Cambridge Companion to the Philosophy of Biology. Cambridge University Press.
    Population genetics attempts to measure the influence of the causes of evolution, viz., mutation, migration, natural selection, and random genetic drift, by understanding the way those causes change the genetics of populations. But how does it accomplish this goal? After a short introduction, we begin in section (2) with a brief historical outline of the origins of population genetics. In section (3), we sketch the model theoretic structure of population genetics, providing the flavor of the ways in which population genetics (...)
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