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Sophokles' Antigone gehört zu den meistbearbeiteten Stoffen der Antike. Aber was macht sie so kultur- und zeitübergreifend anschlussfähig? Marcus Llanque und Katja Sarkowsky führen dies auf eine spezifische Konfliktstruktur zurück, die sie mit dem Begriff des »antigonistischen Konflikts« fassen. Sie untersuchen, wie Literatur und Politische Theorie seit ca. 1990 das jeweilige Prononcieren der unterschiedlichen Konfliktlinien Antigones als produktive Linse nutzen, um politische und gesellschaftliche Konflikte im Kontext multikultureller Demokratien auszuhandeln und die Grenzen unseres demokratischen Selbstverständnisses auszuloten.
LITERARY CRITICISM / General. --- Antigone. --- Democracy. --- Literary Studies. --- Literature. --- Multiculturalism. --- Myth. --- Political Science. --- Political Theory. --- Politics. --- Theatre Studies. --- Tragedy.
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What do planners need to know in order to use narrative approaches responsibly in their practice? This practical field guide makes insights from narrative research accessible to planners through a glossary of key concepts in the field of »narrative in planning«. What makes narratives coherent, probable, persuasive, even necessary - but also potentially harmful, manipulative and divisive? How can narratives help to build more sustainable, resilient, and inclusive communities? The contributors are literary scholars who have sound practical experience in planning practice, training planning scholars and practitioners or advising municipalities on how to harness the power of stories in urban development.
SOCIAL SCIENCE / Sociology / Urban. --- City. --- Cultural Geography. --- Literary Studies. --- Literature. --- Narrative Turn. --- Planning. --- Sociology. --- Story Turn. --- Storytelling. --- Urban Planning. --- Urban Studies.
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How do artificial neural networks and other forms of artificial intelligence interfere with methods and practices in the sciences? Which interdisciplinary epistemological challenges arise when we think about the use of AI beyond its dependency on big data? Not only the natural sciences, but also the social sciences and the humanities seem to be increasingly affected by current approaches of subsymbolic AI, which masters problems of quality (fuzziness, uncertainty) in a hitherto unknown way. But what are the conditions, implications, and effects of these (potential) epistemic transformations and how must research on AI research be configured to address them adequately?
SOCIAL SCIENCE / Media Studies. --- Artificial Neural Networks. --- Computer Sciences. --- Digital Media. --- Digitalization. --- Machine Learning. --- Media Studies. --- Research on Research. --- Sociology of Media. --- Sociology of Science. --- Subsymbolic AI. --- Technology.
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