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  1. Why Machine-Information Metaphors are Bad for Science and Science Education.Massimo Pigliucci & Maarten Boudry - 2011 - Science & Education 20 (5-6):471.
    Genes are often described by biologists using metaphors derived from computa- tional science: they are thought of as carriers of information, as being the equivalent of ‘‘blueprints’’ for the construction of organisms. Likewise, cells are often characterized as ‘‘factories’’ and organisms themselves become analogous to machines. Accordingly, when the human genome project was initially announced, the promise was that we would soon know how a human being is made, just as we know how to make airplanes and buildings. Impor- tantly, (...)
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  • When Science Studies Religion: Six Philosophy Lessons for Science Classes.Massimo Pigliucci - 2013 - Science & Education 22 (1):49-67.
    It is an unfortunate fact of academic life that there is a sharp divide between science and philosophy, with scientists often being openly dismissive of philosophy, and philosophers being equally contemptuous of the naivete ́ of scientists when it comes to the philosophical underpinnings of their own discipline. In this paper I explore the possibility of reducing the distance between the two sides by introducing science students to some interesting philosophical aspects of research in evolutionary biology, using biological theories of (...)
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  • Handbook of Evolutionary Thinking in the Sciences.Thomas Heams, Philippe Huneman, Guillaume Lecointre & Marc Silberstein (eds.) - 2015 - Springer.
    The Darwinian theory of evolution is itself evolving and this book presents the details of the core of modern Darwinism and its latest developmental directions. The authors present current scientific work addressing theoretical problems and challenges in four sections, beginning with the concepts of evolution theory, its processes of variation, heredity, selection, adaptation and function, and its patterns of character, species, descent and life. The second part of this book scrutinizes Darwinism in the philosophy of science and its usefulness in (...)
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  • The dilemma of dominance.Douglas Allchin - 2005 - Biology and Philosophy 20 (2-3):427-451.
    The concept of dominance poses several dilemmas. First, while entrenched in genetics education, the metaphor of dominance promotes several misconceptions and misleading cultural perspectives. Second, the metaphors of power, prevalence and competition extend into science, shaping assumptions and default concepts. Third, because genetic causality is complex, the simplified concepts of dominance found in practice are highly contingent or inconsistent. The conceptual problems are illustrated in the history of studies on the evolution of dominance. Conceptual clarity may be fostered, I claim, (...)
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  • “Molecular gene”: Interpretation in the Right Context. [REVIEW]Degeng Wang - 2005 - Biology and Philosophy 20 (2-3):453-464.
    How to interpret the “molecular gene” concept is discussed in this paper. I argue that the architecture of biological systems is hierarchical and multi-layered, exhibiting striking similarities to that of modern computers. Multiple layers exist between the genotype and system level property, the phenotype. This architectural complexity gives rise to the intrinsic complexity of the genotype-phenotype relationships. The notion of a gene being for a phenotypic trait or traits lacks adequate consideration of this complexity and has limitations in explaining the (...)
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  • John Maynard Smith and the natural philosophy of␣adaptation.Alirio Rosales - 2005 - Biology and Philosophy 20 (5):1027-1040.
    One of the most remarkable aspects of John Maynard Smith’s work was the fact that he devoted time both to doing science and to reflecting philosophically upon its methods and concepts. In this paper I offer a philosophical analysis of Maynard Smith’s approach to modelling phenotypic evolution in relation to three main themes. The first concerns the type of scientific understanding that ESS and optimality models give us. The second concerns the causal–historical aspect of stability analyses of adaptation. The third (...)
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  • On the concept of biological race and its applicability to humans.Massimo Pigliucci & Jonathan Kaplan - 2003 - Philosophy of Science 70 (5):1161-1172.
    Biological research on race has often been seen as motivated by or lending credence to underlying racist attitudes; in part for this reason, recently philosophers and biologists have gone through great pains to essentially deny the existence of biological human races. We argue that human races, in the biological sense of local populations adapted to particular environments, do in fact exist; such races are best understood through the common ecological concept of ecotypes. However, human ecotypic races do not in general (...)
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  • Gene.Hans-Jörg Rheinberger - 2008 - Stanford Encyclopedia of Philosophy.
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  • The Ontic Account of Scientific Explanation.Carl F. Craver - 2014 - In Marie I. Kaiser, Oliver R. Scholz, Daniel Plenge & Andreas Hüttemann (eds.), Explanation in the Special Sciences: The Case of Biology and History. Springer Verlag. pp. 27-52.
    According to one large family of views, scientific explanations explain a phenomenon (such as an event or a regularity) by subsuming it under a general representation, model, prototype, or schema (see Bechtel, W., & Abrahamsen, A. (2005). Explanation: A mechanist alternative. Studies in History and Philosophy of Biological and Biomedical Sciences, 36(2), 421–441; Churchland, P. M. (1989). A neurocomputational perspective: The nature of mind and the structure of science. Cambridge: MIT Press; Darden (2006); Hempel, C. G. (1965). Aspects of scientific (...)
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  • Dangerous Habits: Examining the Philosophical Baggage of Biological Research.Massimo Pigliucci - 2003 - Dissertation, The University of Tennessee
    Science is about conceptualizing the natural world in a way that can be understood by human beings while at the same time reflecting as much as possible what we can empirically infer about how the world actually is. Among the crucial tools that allow scientists to formulate hypotheses and to contribute to a progressive understanding of nature are the use of imagery and metaphors, on the one hand, and the ability to assume certain starting points on which to build new (...)
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