Sartori, Lorenzo (2023) Model Organisms as Scientific Representations. [Preprint]
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Abstract
In this paper, I argue that model organisms (MOs) function as representations of other organisms, in the same way in which scientific models function as representations of their targets. This offers a response to the question of how we justify inferences from MOs to other biological systems. Building on Ankeny and Leonelli's (2020) account of MOs and drawing on the resources of the DEKI account of scientific representation (Frigg and Nguyen 2020), I argue that MO-based inferences are justified iff they exemplify properties that are translated into the ones imputed to the target system by an appropriate mapping function. Then, I defend this account against the charges of Levy and Currie (2015) and Weber (2004), who have proposed non-representational accounts of MOs.
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Item Type: | Preprint | ||||||
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Keywords: | model organism, scientific representation, justification, DEKI, scientific models, philosophy of biology, specimen | ||||||
Subjects: | Specific Sciences > Biology Specific Sciences > Biology > Molecular Biology/Genetics General Issues > Confirmation/Induction General Issues > Experimentation Specific Sciences > Medicine General Issues > Models and Idealization |
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Depositing User: | Dr. Lorenzo Sartori | ||||||
Date Deposited: | 16 Oct 2023 17:27 | ||||||
Last Modified: | 16 Oct 2023 17:27 | ||||||
Item ID: | 22664 | ||||||
Subjects: | Specific Sciences > Biology Specific Sciences > Biology > Molecular Biology/Genetics General Issues > Confirmation/Induction General Issues > Experimentation Specific Sciences > Medicine General Issues > Models and Idealization |
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Date: | 2023 | ||||||
URI: | https://philsci-archive.pitt.edu/id/eprint/22664 |
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