PhilSci Archive

Empirical Adequacy and Ramsification

Ketland, Jeffrey (2002) Empirical Adequacy and Ramsification. [Preprint]


Download (109kB)


Structural realism has been proposed as an epistemological position interpolating between realism and sceptical anti-realism about scientific theories. The structural realist who accepts a scientific theory Theta thinks that Theta is empirically correct, and furthermore is a realist about the ‘structural content’ of Theta. But what exactly is ‘structural content’? One proposal is that the ‘structural content’ of a scientific theory may be associated with its Ramsey sentence R(Theta). However, Demopoulos and Friedman argued, using ideas drawn from Newman’s earlier criticism of Russell’s structuralism, that this move fails to achieve an interesting intermediate position between realism and anti-realism. Rather, R(Theta) adds little content beyond the instrumentalistically acceptable claim that the theory Theta is empirically adequate. Here, we formulate carefully the crucial claim of Demopoulos and Friedman, and show that the Ramsey sentence R(Theta) is true just in case Theta possesses a full model which is empirically correct and satisfies a certain cardinality condition on its theoretical domain. This suggests that structural realism is not a position significantly different from the anti-realism it attempts to distinguish itself from.

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

Item Type: Preprint
Ketland, Jeffrey
Additional Information: Forthcoming in British Journal for Philosophy of Science (2004)
Keywords: Realism, Structural Realism, Structuralism, Ramsey, Empirical Adequacy
Subjects: General Issues > Structure of Theories
General Issues > Theory/Observation
General Issues > Realism/Anti-realism
Depositing User: Jeffrey Ketland
Date Deposited: 06 Nov 2003
Last Modified: 07 Oct 2010 15:12
Item ID: 1465

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item