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Representing with model organisms: A refined DEKI account

Prieto, Guido I. and Fábregas-Tejeda, Alejandro (2025) Representing with model organisms: A refined DEKI account. Synthese, 206. p. 209. ISSN 1573-0964

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Abstract

In this article, we mobilize and refine the DEKI account of scientific representation to contend that model organisms are not models tout court but model ‘carriers,’ only abstracted and selected ‘parts’ of which are included in biological models. These parts correspond to phenomena of interest that are interpreted as mechanisms or other kinds of causal processes within certain theoretical domains. The models can then be used to represent similar target phenomena in other organisms. Our proposal paves the way to reconcile opposing positions apropos the representational status of model organisms and build a more robust epistemology of model organism-based research.


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Item Type: Published Article or Volume
Creators:
CreatorsEmailORCID
Prieto, Guido I.guido.prieto@uni-bielefeld.de0000-0002-0072-8304
Fábregas-Tejeda, Alejandroalejandro.fabregastejeda@kuleuven.be0000-0002-1797-5467
Keywords: model organism; scientific representation; models; model carrier; DEKI account
Subjects: Specific Sciences > Biology
Specific Sciences > Biology > Developmental Biology
Specific Sciences > Biology > Molecular Biology/Genetics
Specific Sciences > Medicine
General Issues > Models and Idealization
Specific Sciences > Neuroscience
Depositing User: Dr. Guido I. Prieto
Date Deposited: 17 Oct 2025 10:55
Last Modified: 17 Oct 2025 10:55
Item ID: 26943
Journal or Publication Title: Synthese
Publisher: Springer (Springer Science+Business Media B.V.)
Official URL: https://link.springer.com/article/10.1007/s11229-0...
DOI or Unique Handle: https://doi.org/10.1007/s11229-025-05267-1
Subjects: Specific Sciences > Biology
Specific Sciences > Biology > Developmental Biology
Specific Sciences > Biology > Molecular Biology/Genetics
Specific Sciences > Medicine
General Issues > Models and Idealization
Specific Sciences > Neuroscience
Date: 16 October 2025
Page Range: p. 209
Volume: 206
ISSN: 1573-0964
URI: https://philsci-archive.pitt.edu/id/eprint/26943

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