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  1. Chaos, plurality and model metrics in climate science.Gregor Betz - 2013 - In Ulrich Gähde, Stephan Hartmann & Jörn Henning Wolf (eds.), Models, Simulations, and the Reduction of Complexity. Boston: De Gruyter. pp. 255-264.
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  • (1 other version)The role of 'complex' empiricism in the debates about satellite data and climate models.Elisabeth A. Lloyd - 2012 - Studies in History and Philosophy of Science Part A 43 (2):390-401.
    climate scientists have been engaged in a decades-long debate over the standing of satellite measurements of the temperature trends of the atmosphere above the surface of the earth. This is especially significant because skeptics of global warming and the greenhouse effect have utilized this debate to spread doubt about global climate models used to predict future states of climate. I use this case from an under-studied science to illustrate two distinct philosophical approaches to the relation among data, scientists, measurement, models, (...)
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  • Comparative Process Tracing and Climate Change Fingerprints.Wendy S. Parker - 2010 - Philosophy of Science 77 (5):1083-1095.
    Climate change fingerprint studies investigate the causes of recent climate change. I argue that these studies have much in common with Steel’s (2008) streamlined comparative process tracing, illustrating a mechanisms-based approach to extrapolation in which the mechanisms of interest are simulated rather than physically instantiated. I then explain why robustness and variety-of-evidence considerations turn out to be important for understanding the evidential value of climate change fingerprint studies.
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  • The advancement of science: science without legend, objectivity without illusions.Philip Kitcher - 1993 - New York: Oxford University Press.
    During the last three decades, reflections on the growth of scientific knowledge have inspired historians, sociologists, and some philosophers to contend that scientific objectivity is a myth. In this book, Kitcher attempts to resurrect the notions of objectivity and progress in science by identifying both the limitations of idealized treatments of growth of knowledge and the overreactions to philosophical idealizations. Recognizing that science is done not by logically omniscient subjects working in isolation, but by people with a variety of personal (...)
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  • Chaos, Plurality, and Model Metrics in Climate Science.Gregor Betz - 2013 - In Ulrich Gähde, Stephan Hartmann & Jörn Henning Wolf (eds.), Models, Simulations, and the Reduction of Complexity. Boston: De Gruyter. pp. 255-264.
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  • (1 other version)The Role of “Complex” Empiricism in the Debates About Satellite Data and Climate Models.Elisabeth A. Lloyd - 2018 - In Elisabeth A. Lloyd & Eric Winsberg (eds.), Climate Modelling: Philosophical and Conceptual Issues. Springer Verlag. pp. 137-173.
    Climate scientists have been engaged in a decades-long debate over the standing of satellite measurements of the temperature trends of the atmosphere above the surface of the earth. This is especially significant because skeptics of global warming and the greenhouse effect have utilized this debate to spread doubt about global climate models used to predict future states of climate. I use this case from an understudied science to illustrate two distinct philosophical approaches to the relations among data, scientist, measurement, models, (...)
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  • On Defining Climate and Climate Change.Charlotte Werndl - 2016 - British Journal for the Philosophy of Science 67 (2):337-364.
    The aim of the article is to provide a clear and thorough conceptual analysis of the main candidates for a definition of climate and climate change. Five desiderata on a definition of climate are presented: it should be empirically applicable; it should correctly classify different climates; it should not depend on our knowledge; it should be applicable to the past, present, and future; and it should be mathematically well-defined. Then five definitions are discussed: climate as distribution over time for constant (...)
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  • (3 other versions)The Authors.[author unknown] - 1973 - Proceedings of the Heraclitean Society 1 (1).
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  • Frequently asked questions.Matthew Donald - unknown
    How come quantum theory has anything to do with mind? Is your theory refutable? What is the point of all the technical detail? Do you suggest that the operation of the brain involves large scale quantum coherence? Isn't large scale quantum coherence necessary to solve the problem of the unity of consciousness? How does a many-minds interpretation survive Occam's razor? What, briefly, is your current philosophical position? What is your understanding of the relationship between mind and brain for split-brain patients? (...)
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  • (2 other versions)The Advancement of Science: Science without Legend, Objectivity without Illusions.Philip Kitcher - 1996 - Erkenntnis 44 (3):379-395.
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