Calibration of laboratory models in population genetics

Perspectives on Science 12 (4):369-393 (2004)
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Abstract

: 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 the calibration strategy fits within Lloyd's (1987, 1988) account of the confirmation of ecological and evolutionary models

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Robert Skipper
University of Cincinnati

References found in this work

Error and the growth of experimental knowledge.Deborah Mayo - 1996 - International Studies in the Philosophy of Science 15 (1):455-459.
Models of data.Patrick Suppes - 2009 - In Ernest Nagel, Patrick Suppes & Alfred Tarski (eds.), Provability, Computability and Reflection. Stanford, CA, USA: Elsevier.

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