David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Philosophy of Science 78 (5):1082-1096 (2011)
Contrary to the claim that measurement standards are absolutely accurate by definition, I argue that unit definitions do not completely fix the referents of unit terms. Instead, idealized models play a crucial semantic role in coordinating the theoretical definition of a unit with its multiple concrete realizations. The accuracy of realizations is evaluated by comparing them to each other in light of their respective models. The epistemic credentials of this method are examined and illustrated through an analysis of the contemporary standardization of time. I distinguish among five senses of ‘measurement accuracy’ and clarify how idealizations enable the assessment of accuracy in each sense.
|Keywords||Measurement Accuracy Standards Physics Models Idealizations|
|Categories||categorize this paper)|
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
Jim Woodward (2006). Some Varieties of Robustness. Journal of Economic Methodology 13 (2):219-240.
Citations of this work BETA
Eran Tal (2013). Old and New Problems in Philosophy of Measurement. Philosophy Compass 8 (12):1159-1173.
Steven French & Michela Massimi (2013). Philosophy of Science A Personal Peek Into the Future. Metaphilosophy 44 (3):230-240.
Alfred Nordmann (2012). Another Parting of the Ways: Intersubjectivity and the Objectivity of Science. Studies in History and Philosophy of Science Part A 43 (1):38-46.
Similar books and articles
Eran Tal (2012). The Epistemology of Measurement: A Model-Based Account. Dissertation, University of Toronto
Alessandro Giordani & Luca Mari (2014). Modeling Measurement: Error and Uncertainty. In Marcel Boumans, Giora Hon & Arthur Petersen (eds.), Error and Uncertainty in Scientific Practice. Pickering & Chatto. 79-96.
Marcel Boumans (2012). Measurement in Economics. In Uskali Mäki, Dov M. Gabbay, Paul Thagard & John Woods (eds.), Philosophy of Economics. North Holland. 395.
Alessandro Giordani & Luca Mari (2012). Measurement, Models, and Uncertainty. IEEE Transactions on Instrumentation and Measurement 61 (8):2144 - 2152.
Marcel Boumans (2012). Modeling Strategies for Measuring Phenomena In-and Outside the Laboratory. In Henk W. de Regt (ed.), Epsa Philosophy of Science: Amsterdam 2009. Springer. 1--11.
Gillian Cohen (1998). Measuring Accuracy is an Intractable Problem. Behavioral and Brain Sciences 21 (1):164-164.
Ronald De Sousa & Adam Morton (2002). Emotional Truth. Aristotelian Society Supplementary Volume 76:247 - 275.
Andrew Wayne (2011). Expanding the Scope of Explanatory Idealization. Philosophy of Science 78 (5):830-841.
Gilles Dutilh, Eric-Jan Wagenmakers, Ingmar Visser & Han L. J. van der Maas (2011). A Phase Transition Model for the Speed-Accuracy Trade-Off in Response Time Experiments. Cognitive Science 35 (2):211-250.
Stephan Hartmann (1998). Idealization in Quantum Field Theory. In Niall Shanks (ed.), Idealization in Contemporary Physics. 99-122.
Jay Odenbaugh (2005). Idealized, Inaccurate but Successful: A Pragmatic Approach to Evaluating Models in Theoretical Ecology. [REVIEW] Biology and Philosophy 20 (2-3):231-255.
Margaret Morrison (2009). Models, Measurement and Computer Simulation: The Changing Face of Experimentation. Philosophical Studies 143 (1):33 - 57.
Added to index2011-11-07
Total downloads46 ( #41,687 of 1,413,175 )
Recent downloads (6 months)3 ( #67,254 of 1,413,175 )
How can I increase my downloads?