Understanding metaphorical understanding (literally)

European Journal for Philosophy of Science 12 (3):1-20 (2022)
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Abstract

Metaphors are found all throughout science: in published papers, working hypotheses, policy documents, lecture slides, grant proposals, and press releases. They serve different functions, but perhaps most striking is the way they enable understanding, of a theory, phenomenon, or idea. In this paper, we leverage recent advances on the nature of metaphor and the nature of understanding to explore how they accomplish this feat. We attempt to shift the focus away from the epistemic value of the content of metaphors, to the epistemic value of the metaphor’s consequences. Many famous scientific metaphors are epistemically good, not primarily because of what they say about the world, but because of how they cause us to think. Specifically, metaphors increase understanding either by improving our sets of representations, or by making it easier for us to encode and process data about complex subjects by changing how we are disposed to conceptualize those subjects. This view hints towards new positions concerning testimonial understanding, factivity, abilities, discovery via metaphor, and the relation between metaphors and models.

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Author Profiles

Michael T. Stuart
University of York
Daniel Wilkenfeld
University of Pittsburgh

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References found in this work

Models in Science (2nd edition).Roman Frigg & Stephan Hartmann - 2021 - The Stanford Encyclopedia of Philosophy.
True Enough.Catherine Z. Elgin - 2017 - Cambridge: MIT Press.
Models and metaphors.Max Black - 1962 - Ithaca, N.Y.,: Cornell University Press.

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