Wrisley david joseph (11 risultati)

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New. 2026. New. hardcover. . . . . .

Hardback. Condizione: New. This book examines the transformations in medieval studies-and the humanities more broadly-enabled by decades of digitization and advances in computational methods. Centring on the Paris Bible, a widely copied thirteenth- and fourteenth-century manuscript genre, we demonstrate how automated transcription produces scribal data at a scale once inaccessible, and how automation can support new approaches to localizing, dating, and contextualizing manuscripts. We argue that bringing machine learning and artificial intelligence to medieval studies not only requires re-centring expert human intelligence within computational systems, but also raises the question of the infrastructures needed for equitable, collaborative scholarship across the field. The book models how medieval studies might rethink interpretation, highlighting both the promise and risks of computational methods in manuscript research.…

Hardcover. Condizione: Brand New. 196 pages. 9.25x6.22x0.67 inches. In Stock.

Hardcover. Condizione: new. Hardcover. This book examines the transformations in medieval studiesand the humanities more broadlyenabled by decades of digitization and advances in computational methods. Centring on the Paris Bible, a widely copied thirteenth- and fourteenth-century manuscript genre, we demonstrate how automated transcription produces scribal data at a scale once inaccessible, and how automation can support new approaches to localizing, dating, and contextualizing manuscripts. We argue that bringing machine learning and artificial intelligence to medieval studies not only requires re-centring expert human intelligence within computational systems, but also raises the question of the infrastructures needed for equitable, collaborative scholarship across the field. The book models how medieval studies might rethink interpretation, highlighting both the promise and risks of computational methods in manuscript research. This book explores the intersection of medieval manuscripts and machine learning through the genre of the Paris Bible, thousands of which were created in Europe in the thirteenth and fourteenth centuries. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.

Condizione: New. 2026. New. hardcover. . . . . . Books ship from the US and Ireland.

Condizione: New.

Hardcover. Condizione: Brand New. 196 pages. 9.25x6.22x0.67 inches. In Stock.

Hardback. Condizione: New. This book examines the transformations in medieval studies-and the humanities more broadly-enabled by decades of digitization and advances in computational methods. Centring on the Paris Bible, a widely copied thirteenth- and fourteenth-century manuscript genre, we demonstrate how automated transcription produces scribal data at a scale once inaccessible, and how automation can support new approaches to localizing, dating, and contextualizing manuscripts. We argue that bringing machine learning and artificial intelligence to medieval studies not only requires re-centring expert human intelligence within computational systems, but also raises the question of the infrastructures needed for equitable, collaborative scholarship across the field. The book models how medieval studies might rethink interpretation, highlighting both the promise and risks of computational methods in manuscript research.…

Buch. Condizione: Neu. Neuware - This book examines the transformations in medieval studies--and the humanities more broadly--enabled by decades of digitization and advances in computational methods. Centring on the Paris Bible, a widely copied thirteenth- and fourteenth-century manuscript genre, we demonstrate how automated transcription produces scribal data at a scale once inaccessible, and how automation can support new approaches to localizing, dating, and contextualizing manuscripts. We argue that bringing machine learning and artificial intelligence to medieval studies not only requires re-centring expert human intelligence within computational systems, but also raises the question of the infrastructures needed for equitable, collaborative scholarship across the field. The book models how medieval studies might rethink interpretation, highlighting both the promise and risks of computational methods in manuscript research.…