Matthiessen, Dana (2022) Empirical Techniques and the Accuracy of Scientific Representations. [Preprint]
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Abstract
This paper proposes an account of accurate scientific representation in terms of techniques that produce data from a target phenomenon. I consider an approach to accurate representation that abstracts from such epistemic factors, justified by a thesis I call Ontic Priority. This holds that criteria for representational accuracy depend on a pre-established account of the nature of the relation between a model and its target phenomenon. I challenge Ontic Priority, drawing on the observation that many working scientists do not have access to information allowing them to describe this relation between model and target or compare them accordingly. I critique the ability of an ontic-first approach to provide accuracy criteria in such cases and present historical support for an alternative according to which a model is accurate if and only if integrating the model into a theory of the data acquisition process yields well-fitting predictions of patterns in the data.
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| Item Type: | Preprint | ||||||
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| Keywords: | Scientific Representation; Accuracy; Models; Experimentation; Data-Phenomenon Inference | ||||||
| Subjects: | General Issues > Data General Issues > Experimentation General Issues > History of Science Case Studies General Issues > Models and Idealization |
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| Depositing User: | Dana Matthiessen | ||||||
| Date Deposited: | 25 Aug 2023 13:57 | ||||||
| Last Modified: | 25 Aug 2023 13:57 | ||||||
| Item ID: | 22448 | ||||||
| Subjects: | General Issues > Data General Issues > Experimentation General Issues > History of Science Case Studies General Issues > Models and Idealization |
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| Date: | 2022 | ||||||
| URI: | https://philsci-archive.pitt.edu/id/eprint/22448 |
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