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            Foucault's Archaeology

            Science and Transformation

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            Author(s)
            Webb, David
            Collection
            Knowledge Unlatched (KU)
            Language
            English
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            Abstract
            This book provides a new perspective on Foucault’s The Archaeology of Knowledge by revealing the extent to which its approach to language was influenced by the mathematical sciences. Setting out this background to Foucault’s analysis makes The Archaeology of Knowledge both accessible in a new way, and relevant to issues that are at the heart of much contemporary debate over the nature of critical thought and the relation between philosophy and the sciences. This book sheds new light on a crucial period of Foucault’s work by highlighting his relation to thinkers such as Cavaillès and Serres. It aims to provide a reading of The Archaeology of Knowledge that puts it at the heart Foucault’s thought. Rather than attempting a scientific study of language as such, Foucault is shown to have adopted a mode of thought indebted to thinkers in the scientific and epistemological tradition.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/187693
            Keywords
            Philosophy; Continental Philosophy; European Philosophy; Epistemology; Philosophy of Science and Mathematics; Feminist theory; Foucault; Discourse; Gaston Bachelard; Immanuel Kant; Jean Cavaillès; Martin Heidegger; Michel Foucault; Ontology; Serres; thema EDItEUR::Q Philosophy and Religion::QD Philosophy::QDT Topics in philosophy::QDTJ Philosophy: metaphysics and ontology
            DOI
            10.3366/edinburgh/9780748624218.001.0001
            ISBN
            9780748630387
            Publisher
            Edinburgh University Press
            Publisher website
            http://www.euppublishing.com/
            Publication date and place
            2012-11-28
            Grantor
            • Knowledge Unlatched
            • OAPEN harvesting collection

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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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