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• W2803566286 abstract "Despite an enormous philosophical literature on models in science, surprisingly little has been written about data models and how they are constructed. In this paper, I examine the case of how paleodiversity data models are constructed from the fossil data. In particular, I show how paleontologists are using various model-based techniques to correct the data. Drawing on this research, I argue for the following related theses: first, the ‘purity’ of a data model is not a measure of its epistemic reliability. Instead it is the fidelity of the data that matters. Second, the fidelity of a data model in capturing the signal of interest is a matter of degree. Third, the fidelity of a data model can be improved ‘vicariously’, such as through the use of post hoc model-based correction techniques. And, fourth, data models, like theoretical models, should be assessed as adequate (or inadequate) for particular purposes." @default.
• W2803566286 created "2018-06-01" @default.
• W2803566286 creator A5087275893 @default.
• W2803566286 date "2018-05-29" @default.
• W2803566286 modified "2023-09-24" @default.
• W2803566286 title "Using models to correct data: paleodiversity and the fossil record" @default.
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• W2803566286 doi "https://doi.org/10.1007/s11229-018-1820-x" @default.
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