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This Element combines a machine learning-based approach to detect the prevalence and nature of generalization across tens of thousands of sentences from different disciplines alongside a robust discussion of potential solutions to the problem of the generalizability of textual evidence.
This Element explores the literary geographies of Balzac and Proust as exemplary of realist and post-realist traditions of place-making in novelistic spaces. The central concern of this Element is how literary cartography, or the mapping of place-names, can contribute to our understanding of place-making in the novel.
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