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  1. Scientific perspectivism.Ronald N. Giere - 2006 - Chicago: University of Chicago Press.
    Many people assume that the claims of scientists are objective truths. But historians, sociologists, and philosophers of science have long argued that scientific claims reflect the particular historical, cultural, and social context in which those claims were made. The nature of scientific knowledge is not absolute because it is influenced by the practice and perspective of human agents. Scientific Perspectivism argues that the acts of observing and theorizing are both perspectival, and this nature makes scientific knowledge contingent, as Thomas Kuhn (...)
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  • Infra-experimentality: from traces to data, from data to patterning facts.Hans-Jörg Rheinberger - 2011 - History of Science 49 (3):337-348.
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  • Entering new fields: Exploratory uses of experimentation.Friedrich Steinle - 1997 - Philosophy of Science 64 (4):74.
    Starting with some illustrative examples, I develop a systematic account of a specific type of experimentation--an experimentation which is not, as in the "standard view", driven by specific theories. It is typically practiced in periods in which no theory or--even more fundamentally--no conceptual framework is readily available. I call it exploratory experimentation and I explicate its systematic guidelines. From the historical examples I argue furthermore that exploratory experimentation may have an immense, but hitherto widely neglected, epistemic significance.
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  • Theory-laden experimentation.Samuel Schindler - 2013 - Studies in History and Philosophy of Science Part A 44 (1):89-101.
    The thesis of theory-ladenness of observations, in its various guises, is widely considered as either ill-conceived or harmless to the rationality of science. The latter view rests partly on the work of the proponents of New Experimentalism who have argued, among other things, that experimental practices are efficient in guarding against any epistemological threat posed by theory-ladenness. In this paper I show that one can generate a thesis of theory-ladenness for experimental practices from an influential New Experimentalist account. The notion (...)
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  • Cosmic Confusions: Not Supporting versus Supporting Not.John D. Norton - 2010 - Philosophy of Science 77 (4):501-523.
    Bayesian probabilistic explication of inductive inference conflates neutrality of supporting evidence for some hypothesis H (“not supporting H”) with disfavoring evidence (“supporting not-H”). This expressive inadequacy leads to spurious results that are artifacts of a poor choice of inductive logic. I illustrate how such artifacts have arisen in simple inductive inferences in cosmology. In the inductive disjunctive fallacy, neutral support for many possibilities is spuriously converted into strong support for their disjunction. The Bayesian “doomsday argument” is shown to rely entirely (...)
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  • On the locality of data and claims about phenomena.Sabina Leonelli - 2009 - Philosophy of Science 76 (5):737-749.
    Bogen and Woodward characterized data as embedded in the context in which they are produced (‘local’) and claims about phenomena as retaining their significance beyond that context (‘nonlocal’). This view does not fit sciences such as biology, which successfully disseminate data via packaging processes that include appropriate labels, vehicles, and human interventions. These processes enhance the evidential scope of data and ensure that claims about phenomena are understood in the same way across research communities. I conclude that the degree of (...)
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  • Classificatory Theory in Data-intensive Science: The Case of Open Biomedical Ontologies.Sabina Leonelli - 2012 - International Studies in the Philosophy of Science 26 (1):47 - 65.
    Knowledge-making practices in biology are being strongly affected by the availability of data on an unprecedented scale, the insistence on systemic approaches and growing reliance on bioinformatics and digital infrastructures. What role does theory play within data-intensive science, and what does that tell us about scientific theories in general? To answer these questions, I focus on Open Biomedical Ontologies, digital classification tools that have become crucial to sharing results across research contexts in the biological and biomedical sciences, and argue that (...)
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  • Convenience experimentation.Ulrich Krohs - 2012 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 43 (1):52-57.
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  • Big and broad social data and the sociological imagination: A collaborative response.Anita Greenhill, Alex Voss, Jeffrey Morgan, Omer Rana, Luke Sloan, Matthew Williams, Peter Burnap, Adam Edwards, Rob Procter & William Housley - 2014 - Big Data and Society 1 (2).
    In this paper, we reflect on the disciplinary contours of contemporary sociology, and social science more generally, in the age of ‘big and broad’ social data. Our aim is to suggest how sociology and social sciences may respond to the challenges and opportunities presented by this ‘data deluge’ in ways that are innovative yet sensitive to the social and ethical life of data and methods. We begin by reviewing relevant contemporary methodological debates and consider how they relate to the emergence (...)
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  • Theory and observation in science.Jim Bogen - 2009 - Stanford Encyclopedia of Philosophy.
    Scientists obtain a great deal of the evidence they use by observingnatural and experimentally generated objects and effects. Much of thestandard philosophical literature on this subject comes from20th century logical positivists and empiricists, theirfollowers, and critics who embraced their issues and accepted some oftheir assumptions even as they objected to specific views. Theirdiscussions of observational evidence tend to focus on epistemologicalquestions about its role in theory testing. This entry follows theirlead even though observational evidence also plays important andphilosophically interesting roles (...)
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  • Saving the phenomena.James Bogen & James Woodward - 1988 - Philosophical Review 97 (3):303-352.
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  • Noise in the World.Jim Bogen - 2010 - Philosophy of Science 77 (5):778-791.
    This essay uses Györgi Buzsáki's use of EEG data to draw conclusions about brain function as an example to show that investigators sometimes draw conclusions from noisy data by analyzing the noise rather than by extracting a signal from it. The example makes vivid some important differences between McAllister's, Woodward's, and my ideas about how data are interpreted.
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  • Plagiarism, Kinship and Slavery.Mario Biagioli - 2014 - Theory, Culture and Society 31 (2-3):65-91.
    In conversation with Marilyn Strathern’s work on kinship and especially on metaphors of intellectual and reproductive creativity, this paper provides an analysis of plagiarism not as a violation of intellectual property but of the kinship relationships between author, work, and readers. It also analyzes the role of figures of kidnapped slaves and children in the genealogy of the modern concept of plagiarism.
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  • The World in the Model: How Economists Work and Think.Mary S. Morgan - 2012 - Cambridge University Press: Cambridge.
    During the last two centuries, the way economic science is done has changed radically: it has become a social science based on mathematical models in place of words. This book describes and analyses that change - both historically and philosophically - using a series of case studies to illuminate the nature and the implications of these changes. It is not a technical book; it is written for the intelligent person who wants to understand how economics works from the inside out. (...)
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  • Pandora’s hope.Bruno Latour - 1999 - Cambridge, Mass.: Harvard University Press.
    Bruno Latour was once asked : "Do you believe in reality?" This text is an attempt to answer this question.
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  • The World Observed/the World Conceived.Hans Radder - 2006 - University of Pittsburgh Press.
    Observation and conceptual interpretation constitute the two major ways through which human beings engage the world. _The World Observed/The World Conceived _presents an innovative analysis of the nature and role of observation and conceptualization. While these two actions are often treated as separate, Hans Radder shows that they are inherently interconnected-that materially realized observational processes are always conceptually interpreted and that the meaning of concepts depends on the way they structure observational processes and abstract from them. He examines the role (...)
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  • Science in the age of computer simulation.Eric Winsberg - 2010 - Chicago: University of Chicago Press.
    Introduction -- Sanctioning models : theories and their scope -- Methodology for a virtual world -- A tale of two methods -- When theories shake hands -- Models of climate : values and uncertainties -- Reliability without truth -- Conclusion.
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  • Quantum Information Theory & the Foundations of Quantum Mechanics.Christopher Gordon Timpson - 2004 - Oxford, GB: Oxford University Press.
    Quantum Information Theory and the Foundations of Quantum Mechanics is a conceptual analysis of one of the most prominent and exciting new areas of physics, providing the first full-length philosophical treatment of quantum information theory and the questions it raises for our understanding of the quantum world. -/- Beginning from a careful, revisionary, analysis of the concepts of information in the everyday and classical information-theory settings, Christopher G. Timpson argues for an ontologically deflationary account of the nature of quantum information. (...)
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  • The self-vindication of the laboratory sciences.Ian Hacking - 1992 - In Andrew Pickering (ed.), Science as Practice and Culture. University of Chicago Press. pp. 29--64.
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  • Learningjrom models.Mary S. Morgan - 1999 - In Margaret Morrison & Mary Morgan (eds.), Models as Mediators: Perspectives on Natural and Social Science. pp. 52--347.
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