David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Synthese 155 (3):307 - 320 (2007)
Prediction is more than testing established theory by examining whether the prediction matches the data. To show this, I examine the practices of a community of scientists, known as threaders, who are attempting to predict the final, folded structure of a protein from its primary structure, i.e., its amino acid sequence. These scientists employ a careful and deliberate methodology of prediction. A key feature of the methodology is calibration. They calibrate in order to construct better models. The construction leads to knowledge of how to construct or build an object. Thus, prediction serves a cognitive goal of model construction and not just model or theory testing. The kind of knowledge that results is relevantly different than theoretical knowledge.
|Keywords||Chemistry Protein folding Models|
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References found in this work BETA
Nancy Cartwright (1983). How the Laws of Physics Lie. Oxford University Press.
Davis Baird (2004). Thing Knowledge: A Philosophy of Scientific Instruments. University of California Press.
Allan Franklin (1990). The Neglect of Experiment. Noûs 24 (4):631-634.
Allan Franklin (1990). Experiment, Right or Wrong. Cambridge University Press.
Antonio Pérez-Ramos (1988). Francis Bacon's Idea of Science and the Maker's Knowledge Tradition. Oxford University Press.
Citations of this work BETA
Léna Soler, Frédéric Wieber, Catherine Allamel-Raffin, Jean-Luc Gangloff, Catherine Dufour & Emiliano Trizio (2013). Calibration: A Conceptual Framework Applied to Scientific Practices Which Investigate Natural Phenomena by Means of Standardized Instruments. Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 44 (2):263-317.
Valeria Mosini (2013). Proteins, the Chaperone Function and Heredity. Biology and Philosophy 28 (1):53-74.
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