This is a critical and historical interpretation of 'Oriental' influences on American modernist poetry. Kern equates Fenollosa and Pound's 'discovery' of Chinese writing with the American pursuit of a natural language for poetry, what Emerson had termed the 'language of nature'. This language of nature is here shown to be a mythic conception continuous with the Renaissance idea of the language of Adam - a language lacking any difference between what it is and what it means. Through analysing and contextualising the nineteenth-century works of Ralph Waldo Emerson and Ernest Fenollosa and the twentieth-century creations of Ezra Pound and Gary Snyder, Kern sheds light on the three contemporary nexuses of his search: the cultural study of Orientalism and the West, the evolution of Indo-European linguistic theory, and the intellectual tradition of American modernist poetry.

Orientalism, Modernism, and the American Poem is a critical and historical interpretation of "Oriental" influences on American modernist poetry. Kern equates Fenollosa and Pound's "discovery" of Chinese writing with the American pursuit of a natural language for poetry, what Emerson had termed the "language of nature." Through analysis and contextualization, Kern sheds light on the three contemporary nexuses of his search: the cultural study of Orientalism and the West, the evolution of Indo-European linguistic theory, and the intellectual tradition of American modernist poetry.

How can a scalable and efficient quality management mechanism for cloud labor services be designed in a way that it delivers results with a well-defined level of quality to the requester? Cloud labor services are a specific form of crowdsourcing: A coordination platform serves as an interface between requesters who need to get work done and a large crowd of workers who want to perform work. An early example of such a platform is Amazon's Web marketplace Mturk, on which service requesters can publish open calls for so-called human intelligence tasks (HITs). Robert Kern's work makes a considerable contribution toward solving the quality problem for scalable human work. On the basis of a comprehensive framework of cloud labor, he develops a set of methods to conceptually measure and aggregate the quality of human work results, implements a platform to put those methods to work, and evaluates their application in a number of very compelling, real-world scenarios successfully combining concepts from statistics, information technology, and management. Reading this book will be beneficial to novices in cloud labor services looking for orientation in this new field as well as to advanced researchers and practitioners developing cloud quality concepts.