In Otávio Bueno, George Darby, Steven French & Dean Rickles (eds.), Thinking About Science, Reflecting on Art: Bringing Aesthetics and Philosophy of Science Together. London, UK: (2018)

Ann-Sophie Barwich
Indiana University, Bloomington
Scientific models share one central characteristic with fiction: their relation to the physical world is ambiguous. It is often unclear whether an element in a model represents something in the world or presents an artifact of model building. Fiction, too, can resemble our world to varying degrees. However, we assign a different epistemic function to scientific representations. As artifacts of human activity, how are scientific representations allowing us to make inferences about real phenomena? In reply to this concern, philosophers of science have started analyzing scientific representations in terms of fictionalization strategies. Many arguments center on a dyadic relation between the model and its target system, focusing on structural resemblances and “as if” scenarios. This chapter provides a different approach. It looks more closely at model building to analyze the interpretative strategies dealing with the representational limits of models. How do we interpret ambiguous elements in models? Moreover, how do we determine the validity of model-based inferences to information that is not an explicit part of a representational structure? I argue that the problem of ambiguous inference emerges from two features of representations, namely their hybridity and incompleteness. To distinguish between fictional and non-fictional elements in scientific models my suggestion is to look at the integrative strategies that link a particular model to other methods in an ongoing research context. To exemplify this idea, I examine protein modeling through X-ray crystallography as a pivotal method in biochemistry.
Keywords Fictionalism  Philosophy of Science  Biochemistry  Modeling  Scientific Representation  Model Building
Categories (categorize this paper)
Buy the book Find it on
Edit this record
Mark as duplicate
Export citation
Find it on Scholar
Request removal from index
Revision history

Download options

PhilArchive copy

 PhilArchive page | Other versions
External links

Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library

References found in this work BETA

Is Water H2O? Evidence, Realism and Pluralism.Hasok Chang - 2012 - Boston Studies in the Philosophy and History of Science.

View all 28 references / Add more references

Citations of this work BETA

No citations found.

Add more citations

Similar books and articles

Science and Fiction: Analysing the Concept of Fiction in Science and its Limits.Ann-Sophie Barwich - 2013 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 44 (2):357-373.
Model Organisms Are Not (Theoretical) Models.Arnon Levy & Adrian Currie - 2015 - British Journal for the Philosophy of Science 66 (2):327-348.
Understanding Scientific Study Via Process Modeling.Robert W. P. Luk - 2010 - Foundations of Science 15 (1):49-78.
Models and Explanation.Alisa Bokulich - 2017 - In Lorenzo Magnani & Tommaso Wayne Bertolotti (eds.), Springer Handbook of Model-Based Science. Springer. pp. 103-118.


Added to PP index

Total views
319 ( #27,944 of 2,444,815 )

Recent downloads (6 months)
15 ( #47,176 of 2,444,815 )

How can I increase my downloads?


My notes