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    <title>Speaking Being: Werner Erhard, Martin Heidegger, and a New Possibility of Being Human: Bruce Hyde, Drew Kopp: 9781119549901: Amazon.com: Books</title>
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    <link>http://tedunderwood.com/2013/08/04/interesting-times-for-literary-theory/</link>
    <dc:creator>wpenman</dc:creator><description><![CDATA[ I’m convinced that literary theorists and computer scientists wrestle with similar problems, in ways that are at least loosely congruent. Neither field is interested in the mere accumulation of data; both are interested in understanding the way we think and the kinds of patterns we recognize in language. Both fields are interested in problems that lack a single correct answer, and have to be mapped in shades of gray (ML calls these shades “probability”). Both disciplines are preoccupied with the danger of overgeneralization (literary theorists call this “essentialism”; computer scientists call it “overfitting”). Instead of saying “every interpretation is based on some previous assumption,” computer scientists say “every model depends on some prior probability,” but there’s really a similar kind of self-scrutiny involved.]]></description>
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    <title>Theorizing Uptake and Knowledge Mobilization</title>
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    <title>Théorie de la démarche : Honoré de Balzac : Free Download &amp; Streaming : Internet Archive</title>
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