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    Language Between God and the Poets (Volume 2.0)

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    Author(s)
    Key, Alexander
    Collection
    Knowledge Unlatched (KU)
    Number
    1000457.0
    Language
    English
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    Abstract
    How does language work? How does language produce truth and beauty? Eleventh-century Arabic scholarship has detailed answers to these universal questions. Language Between God and the Poets reads the theory of four major scholars and asks how the conceptual vocabulary they shared enabled them to create theory in lexicography, theology, logic, and poetics. Their ideas engaged God and poetry at the nexus of language, mind, and reality. Their core conceptual vocabulary carved reality at the joints in a manner quite different from Anglophone and European thought in any period. This vocabulary centered around the words maʿnā (“mental content”) and ḥaqīqah (“accuracy”), two concepts for which Alexander Key develops a translation methodology with the help of Wittgenstein and Kuhn. Language Between God and the Poets helps us see how fundamental the lexicon and lexicography can be to all kinds of theory, how theology can be a science of naming, how logic interacts with language, and how poetic affect can be built on grammar and logic. The four scholars are ar-Rāġib al-Iṣfahānī, Ibn Fūrak, Ibn Sīnā (Avicenna), and ʿAbd al-Qāhir al-Ǧurǧānī.
    URI
    https://library.oapen.org/handle/20.500.12657/43750
    Keywords
    Literary Criticism; Ancient & Classical; History; Ancient; General; Philosophy; General
    DOI
    10.1525/luminos.54
    Publisher
    University of California Press
    Publisher website
    https://www.ucpress.edu/
    Publication date and place
    2018
    Grantor
    • Knowledge Unlatched
    Imprint
    University of California Press
    Classification
    Literary studies: classical, early & medieval
    Ancient history: to c 500 CE
    Philosophy
    Rights
    https://creativecommons.org/licenses/by/4.0/legalcode
    • Harvested from KU

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    Credits

    • logo Scoss
    • logo EU
    • logo Scoss
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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