Winner, 2022 Frank S. and Elizabeth D. Brewer Prize While the idea that successful missions needed Indigenous revolts and missionary deaths seems counterintuitive, this book illustrates how it became a central logic of frontier colonization in Spanish North America. Missions Begin with Blood argues that martyrdom acted as a ceremony of possession that helped Jesuits understand violence, disease, and death as ways that God inevitably worked to advance Christendom. Whether petitioning superiors for support, preparing to extirpate Native “idolatries,” or protecting their conversions from critics, Jesuits found power in their persecution and victory in their victimization. This book correlates these tales of sacrifice to deep genealogies of redemptive death in Catholic discourse and explains how martyrological idioms worked to rationalize early modern colonialism. Specifically, missionaries invoked an agricultural metaphor that reconfigured suffering into seed that, when watered by sweat and blood, would one day bring a rich harvest of Indigenous Christianity.
This is a truly encyclopedic survey of artists' responses - both 'official' and personal - to 'the horrors of war'. "Art and War" reveals the sheer diversity of artists' portrayals of this most devastating aspect of the human condition - from the 'heroic' paintings of Benjamin West and John Singer Sargent to brutal and iconic works by artists from Goya to Picasso, and the equally oppositional work of Leon Golub, Nancy Spero and others who reacted with fury to the Vietnam War. Laura Brandon pays particular attention to work produced in response to World War I and World War II, as well as to more recent art and memorial work by artists as diverse as Barbara Kruger, Alfredo Jarr and Maya Lin. She looks finally to the reactions of contemporary artists such as Langlands and Bell to the US invasion in 2001 of Afghanistan and the 'War on Terror'.
A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This textual data gives unprecedented insights into fundamental questions in the social sciences, humanities, and industry. Meanwhile new machine learning tools are rapidly transforming the way science and business are conducted. Text as Data shows how to combine new sources of data, machine learning tools, and social science research design to develop and evaluate new insights. Text as Data is organized around the core tasks in research projects using text—representation, discovery, measurement, prediction, and causal inference. The authors offer a sequential, iterative, and inductive approach to research design. Each research task is presented complete with real-world applications, example methods, and a distinct style of task-focused research. Bridging many divides—computer science and social science, the qualitative and the quantitative, and industry and academia—Text as Data is an ideal resource for anyone wanting to analyze large collections of text in an era when data is abundant and computation is cheap, but the enduring challenges of social science remain. Overview of how to use text as data Research design for a world of data deluge Examples from across the social sciences and industry
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