PhilSci Archive

Empirical Techniques and the Accuracy of Scientific Representations

Matthiessen, Dana (2022) Empirical Techniques and the Accuracy of Scientific Representations. [Preprint]

[img]
Preview
Text
emp tech and rep - preprint for shps.pdf

Download (1MB) | Preview

Abstract

This paper proposes an account of accurate scientific representation in terms of techniques that produce data from a target phenomenon. I consider an approach to accurate representation that abstracts from such epistemic factors, justified by a thesis I call Ontic Priority. This holds that criteria for representational accuracy depend on a pre-established account of the nature of the relation between a model and its target phenomenon. I challenge Ontic Priority, drawing on the observation that many working scientists do not have access to information allowing them to describe this relation between model and target or compare them accordingly. I critique the ability of an ontic-first approach to provide accuracy criteria in such cases and present historical support for an alternative according to which a model is accurate if and only if integrating the model into a theory of the data acquisition process yields well-fitting predictions of patterns in the data.


Export/Citation: EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL
Social Networking:
Share |

Item Type: Preprint
Creators:
CreatorsEmailORCID
Matthiessen, Danadam228@pitt.edu
Keywords: Scientific Representation; Accuracy; Models; Experimentation; Data-Phenomenon Inference
Subjects: General Issues > Data
General Issues > Experimentation
General Issues > History of Science Case Studies
General Issues > Models and Idealization
Depositing User: Dana Matthiessen
Date Deposited: 25 Aug 2023 13:57
Last Modified: 25 Aug 2023 13:57
Item ID: 22448
Subjects: General Issues > Data
General Issues > Experimentation
General Issues > History of Science Case Studies
General Issues > Models and Idealization
Date: 2022
URI: https://philsci-archive-dev.library.pitt.edu/id/eprint/22448

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item