David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jonathan Jenkins Ichikawa
Jack Alan Reynolds
Learn more about PhilPapers
Foundations of Science 15 (1):49-78 (2010)
This paper argues that scientific studies distinguish themselves from other studies by a combination of their processes, their (knowledge) elements and the roles of these elements. This is supported by constructing a process model. An illustrative example based on Newtonian mechanics shows how scientific knowledge is structured according to the process model. To distinguish scientific studies from research and scientific research, two additional process models are built for such processes. We apply these process models: (1) to argue that scientific progress should emphasize both the process of change and the content of change; (2) to chart the major stages of scientific study development; and (3) to define “science”.
|Keywords||Process model Methodology Philosophy of science Knowledge management|
|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
Thomas S. Kuhn (1962). The Structure of Scientific Revolutions Vol. The University of Chicago Press.
Karl R. Popper (1972). Objective Knowledge. Oxford,Clarendon Press.
Imre Lakatos (1978). The Methodology of Scientific Research Programmes. Cambridge University Press.
David Zaret (1977). The Essential Tension: Selected Studies in Scientific Tradition and Change. [REVIEW] Philosophical Review 90 (1):146-149.
Citations of this work BETA
Robert W. P. Luk (forthcoming). A Theory of Scientific Study. Foundations of Science:1-28.
Similar books and articles
Xiang Chen (2007). The Object Bias and the Study of Scientific Revolutions: Lessons From Developmental Psychology. Philosophical Psychology 20 (4):479 – 503.
Demetris P. Portides (2005). A Theory of Scientific Model Construction: The Conceptual Process of Abstraction and Concretisation. [REVIEW] Foundations of Science 10 (1):67-88.
Paul Humphreys (1995). Computational Science and Scientific Method. Minds and Machines 5 (4):499-512.
Patricia H. Miller (2001). Developmental Issues in Model-Based Reasoning During Childhood. Mind and Society 2 (2):49-58.
M. Rosaria Nucci Pearce & David Pearce (1989). Technology Vs. Science: The Cognitive Fallacy. Synthese 81 (3):405 - 419.
Zamora Bonilla & P. Jesús (2006). Science Studies and the Theory of Games. Perspectives on Science 14 (4).
Michael Bradie (1990). The Evolution of Scientific Lineages. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1990:245 - 254.
R. P. Farrell & C. A. Hooker (2009). Error, Error-Statistics and Self-Directed Anticipative Learning. Foundations of Science 14 (4):249-271.
David B. Resnik (2008). Scientific Autonomy and Public Oversight. Episteme 5 (2):pp. 220-238.
Stephan Hartmann (1995). Models as a Tool for Theory Construction: Some Strategies of Preliminary Physics. In William Herfel et al (ed.), Theories and Models in Scientific Processes. Rodopi
Added to index2010-01-16
Total downloads78 ( #57,454 of 1,934,422 )
Recent downloads (6 months)14 ( #39,167 of 1,934,422 )
How can I increase my downloads?