David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Learn more about PhilPapers
Synthese 89 (1):111 - 133 (1991)
Assuming an essential difference between scientific data and phenomena, this paper argues for the view that we have to understand how empirical findings get transformed into scientific phenomena. The work of scientists is seen as largely consisting in constructing these phenomena which are then utilized in more abstract theories. It is claimed that these matters are of importance for discussions of theory choice and progress in science. A case study is presented as a starting point: paleomagnetism and the use of paleomagnetic data in early discussions of continental drift. Some general features of this study are presented in formalized language. It is suggested that the presentation given is particularly suited for a semantic conception of theories. Even though the construction of scientific phenomena is the main topic of this paper, the view presented here is more adapted to realism than social constructivism.
|Keywords||No keywords specified (fix it)|
|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
Clark Glymour (1980). Theory and Evidence. Princeton University Press.
Frederick Suppe (1989). The Semantic Conception of Theories and Scientific Realism. University of Illinois Press.
James Bogen & James Woodward (1988). Saving the Phenomena. Philosophical Review 97 (3):303-352.
Jim Woodward (1989). Data and Phenomena. Synthese 79 (3):393 - 472.
Patrick Suppes (1969). Studies in the Methodology and Foundations of Science. Dordrecht, D. Reidel.
Citations of this work BETA
O. Bueno (1997). Empirical Adequacy: A Partial Structures Approach. Studies in History and Philosophy of Science Part A 28 (4):585-610.
Mauricio Suárez & Nancy Cartwright (2007). Theories: Tools Versus Models. Studies in History and Philosophy of Science Part B 39 (1):62-81.
James F. Woodward (2011). Data and Phenomena: A Restatement and Defense. Synthese 182 (1):165-179.
Samuel Schindler (2007). Rehabilitating Theory: Refusal of the 'Bottom-Up' Construction of Scientific Phenomena. Studies in History and Philosophy of Science Part A 38 (1):160-184.
Otávio Bueno, Steven French & James Ladyman (2012). Models and Structures: Phenomenological and Partial. Studies in History and Philosophy of Science Part B 43 (1):43-46.
Similar books and articles
Jochen Apel (2011). On the Meaning and the Epistemological Relevance of the Notion of a Scientific Phenomenon. Synthese 182 (1):23-38.
Uljana Feest (2011). What Exactly is Stabilized When Phenomena Are Stabilized? Synthese 182 (1):57-71.
Michela Massimi (2007). Saving Unobservable Phenomena. British Journal for the Philosophy of Science 58 (2):235 - 262.
Michela Massimi (2011). From Data to Phenomena: A Kantian Stance. Synthese 182 (1):101-116.
James W. McAllister (1997). Phenomena and Patterns in Data Sets. Erkenntnis 47 (2):217-228.
Jim Woodward (2000). Data, Phenomena, and Reliability. Philosophy of Science 67 (3):179.
Samuel Schindler (2011). Bogen and Woodward's Data-Phenomena Distinction, Forms of Theory-Ladenness, and the Reliability of Data. Synthese 182 (1):39-55.
Benedikt Löwe & Thomas Müller (2011). Data and Phenomena in Conceptual Modelling. Synthese 182 (1):131-148.
Brigitte Falkenburg (2011). What Are the Phenomena of Physics? Synthese 182 (1):149-163.
Added to index2009-01-28
Total downloads49 ( #85,540 of 1,796,421 )
Recent downloads (6 months)4 ( #206,825 of 1,796,421 )
How can I increase my downloads?