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Models of data and the representation of phenomena

Hernández-Conde, José and Caamaño-Alegre, María (2025) Models of data and the representation of phenomena. THEORIA. An International Journal for Theory, History and Foundations of Science, 40 (2). pp. 172-186. ISSN 2171-679X

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Abstract

Since the 1960s, the distinction between data and phenomena has fueled debates in the philosophy of science, with scholars arguing that data must be modeled in order to serve as evidence for phenomena. We claim that the modeling of data to obtain evidence for phenomena involves four levels: data, sample structure, population structure and phenomena. Our analysis suggests that the notion of pattern is essential to fully grasp the inferential capacity of data models, where representation occurs through nested surrogative reasoning –typically in the form of an isomorphism that holds at different layers. We also explain how our taxonomy of pattern-based inferential steps could shed light on various aspects of nested data modeling, such as the risk of theoretical bias. To illustrate our proposal, we examine the Eddington experiment –which tested general relativity by observing the deflection of starlight near the Sun–, and show how patterns at different levels of the data modeling provide the basis for nested surrogative reasoning in this case. Transforming the data points identified on photographic plates into a representation of light deflection requires a multi-layered search for patterns, where each pattern takes us one step further in data modeling and one step closer to the target phenomenon.


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Item Type: Published Article or Volume
Creators:
CreatorsEmailORCID
Hernández-Conde, Joséjhercon@uva.es0000-0002-8502-6570
Caamaño-Alegre, Maríamariaconcepcion.caamano@uva.es0000-0002-7005-9257
Additional Information: ISSN: 0495-4548 (print)
Keywords: data, pattern, phenomenon, statistical inference, nested modeling, isomorphism
Subjects: General Issues > Data
General Issues > Explanation
General Issues > History of Science Case Studies
General Issues > Models and Idealization
General Issues > Theory/Observation
Depositing User: Unnamed user with email theoria@ehu.es
Date Deposited: 01 Nov 2025 13:40
Last Modified: 01 Nov 2025 13:40
Item ID: 27074
Journal or Publication Title: THEORIA. An International Journal for Theory, History and Foundations of Science
Publisher: Euskal Herriko Unibertsitatea / Universidad del País Vasco
Official URL: https://ojs.ehu.eus/index.php/THEORIA/article/view...
DOI or Unique Handle: 10.1387/theoria.27509
Subjects: General Issues > Data
General Issues > Explanation
General Issues > History of Science Case Studies
General Issues > Models and Idealization
General Issues > Theory/Observation
Date: 2025
Page Range: pp. 172-186
Volume: 40
Number: 2
ISSN: 2171-679X
URI: https://philsci-archive.pitt.edu/id/eprint/27074

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