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  1. The Analytic Versus Representational Theory of Measurement: A Philosophy of Science Perspective.Zoltan Domotor & Vadim Batitsky - 2008 - Measurement Science Review 8 (6):129-146.
    In this paper we motivate and develop the analytic theory of measurement, in which autonomously specified algebras of quantities (together with the resources of mathematical analysis) are used as a unified mathematical framework for modeling (a) the time-dependent behavior of natural systems, (b) interactions between natural systems and measuring instruments, (c) error and uncertainty in measurement, and (d) the formal propositional language for describing and reasoning about measurement results. We also discuss how a celebrated theorem in analysis, known as Gelfand (...)
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  • Models for modeling.Michael Weisberg - manuscript
    Contemporary literature in philosophy of science has begun to emphasize the practice of modeling, which differs in important respects from other forms of representation and analysis central to standard philosophical accounts. This literature has stressed the constructed nature of models, their autonomy, and the utility of their high degrees of idealization. What this new literature about modeling lacks, however, is a comprehensive account of the models that figure in to the practice of modeling. This paper offers a new account of (...)
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  • Stability in Cosmology, from Einstein to Inflation.C. D. McCoy - 2020 - In Claus Beisbart, Tilman Sauer & Christian Wüthrich (eds.), Thinking About Space and Time: 100 Years of Applying and Interpreting General Relativity. Cham: Birkhäuser. pp. 71-89.
    I investigate the role of stability in cosmology through two episodes from the recent history of cosmology: Einstein’s static universe and Eddington’s demonstration of its instability, and the flatness problem of the hot big bang model and its claimed solution by inflationary theory. These episodes illustrate differing reactions to instability in cosmological models, both positive ones and negative ones. To provide some context to these reactions, I also situate them in relation to perspectives on stability from dynamical systems theory and (...)
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  • On Thinking (and measurement).Raymond Aaron Younis - 2014 - In R. Scott Webster Steven A. Stolz (ed.), Measuring up in education. PESA. pp. 255-267.
    We do indeed “live and work in a time when the issues facing education, many of which have been with us for a considerable period, are being approached primarilythrough measurement – classroom assessment, research methods, standardized testing, international comparisons”. It is also true that “we do not often stop to consider what counts – and alternatively, what doesn’t count – in a climate where measuring up to a standard is the name of the game. At a deeper level, we rarely (...)
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  • We Have Big Data, But Do We Need Big Theory? Review-Based Remarks on an Emerging Problem in the Social Sciences.Hermann Astleitner - 2024 - Philosophy of the Social Sciences 54 (1):69-92.
    Big data represents a significant challenge for the social sciences. From a philosophy-of-science perspective, it is important to reflect on related theories and processes for developing them. In this paper, we start by examining different views on the role of theories in big data-related social research. Then, we try to show how big data is related to standards for evaluating theories. We also outline how big data affects theory- and data-based research approaches and the process of theory building. Discussions include (...)
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