Paper Knowledge is a remarkable book about the mundane: the library card, the promissory note, the movie ticket, the PDF (Portable Document Format). It is a media history of the document. Drawing examples from the 1870s, the 1930s, the 1960s, and today, Lisa Gitelman thinks across the media that the document form has come to inhabit over the last 150 years, including letterpress printing, typing and carbon paper, mimeograph, microfilm, offset printing, photocopying, and scanning. Whether examining late nineteenth century commercial, or "job" printing, or the Xerox machine and the role of reproduction in our understanding of the document, Gitelman reveals a keen eye for vernacular uses of technology. She tells nuanced, anecdote-filled stories of the waning of old technologies and the emergence of new. Along the way, she discusses documentary matters such as the relation between twentieth-century technological innovation and the management of paper, and the interdependence of computer programming and documentation. Paper Knowledge is destined to set a new agenda for media studies.

Paper Knowledge is a remarkable book about the mundane: the library card, the promissory note, the movie ticket, the PDF (Portable Document Format). It is a media history of the document. Drawing examples from the 1870s, the 1930s, the 1960s, and today, Lisa Gitelman thinks across the media that the document form has come to inhabit over the last 150 years, including letterpress printing, typing and carbon paper, mimeograph, microfilm, offset printing, photocopying, and scanning. Whether examining late nineteenth century commercial, or "job" printing, or the Xerox machine and the role of reproduction in our understanding of the document, Gitelman reveals a keen eye for vernacular uses of technology. She tells nuanced, anecdote-filled stories of the waning of old technologies and the emergence of new. Along the way, she discusses documentary matters such as the relation between twentieth-century technological innovation and the management of paper, and the interdependence of computer programming and documentation. Paper Knowledge is destined to set a new agenda for media studies.

Working with Paper builds on a growing interest in the materials of science by exploring the gendered uses and meanings of paper tools and technologies, considering how notions of gender impacted paper practices and in turn how paper may have structured knowledge about gender. Through a series of dynamic investigations covering Europe and North America and spanning the early modern period to the twentieth century, this volume breaks new ground by examining material histories of paper and the gendered worlds that made them. Contributors explore diverse uses of paper—from healing to phrenological analysis to model making to data processing—which often occurred in highly gendered, yet seemingly divergent spaces, such as laboratories and kitchens, court rooms and boutiques, ladies’ chambers and artisanal workshops, foundling houses and colonial hospitals, and college gymnasiums and state office buildings. Together, they reveal how notions of masculinity and femininity became embedded in and expressed through the materials of daily life. Working with Paper uncovers the intricate negotiations of power and difference underlying epistemic practices, forging a material history of knowledge in which quotidian and scholarly practices are intimately linked.

This volume is a timely intervention that not only helps demystify the idea of a digital dissertation for students and their advisors, but will be broadly applicable to the work of librarians, administrators, and anyone else concerned with the future of graduate study in the humanities and digital scholarly publishing. Roxanne Shirazi, The City University of New York Digital dissertations have been a part of academic research for years now, yet there are still many questions surrounding their processes. Are interactive dissertations significantly different from their paper-based counterparts? What are the effects of digital projects on doctoral education? How does one choose and defend a digital dissertation? This book explores the wider implications of digital scholarship across institutional, geographic, and disciplinary divides. The volume is arranged in two sections: the first, written by senior scholars, addresses conceptual concerns regarding the direction and assessment of digital dissertations in the broader context of doctoral education. The second section consists of case studies by PhD students whose research resulted in a natively digital dissertation that they have successfully defended. These early-career researchers have been selected to represent a range of disciplines and institutions. Despite the profound effect of incorporated digital tools on dissertations, the literature concerning them is limited. This volume aims to provide a fresh, up-to-date view on the digital dissertation, considering the newest technological advances. It is especially relevant in the European context where digital dissertations, mostly in arts-based research, are more popular. Shaping the Digital Dissertation aims to provide insights, precedents and best practices to graduate students, doctoral advisors, institutional agents, and dissertation committees. As digital dissertations have a potential impact on the state of research as a whole, this edited collection will be a useful resource for the wider academic community and anyone interested in the future of doctoral studies.

This book provides a concise review of essential topics that may be tested in the MSRA exam (Clinical Knowledge Paper). This would allow prospective candidates to have a rapid review of topics, taking revision pressure off in the face of busy clinical schedule. Medical students in their Internal/Acute Medicine rotation or revising for Finals may also find this book helpful.

Traditional Anishinaabe (Ojibwe or Chippewa) knowledge, like the knowledge systems of indigenous peoples around the world, has long been collected and presented by researchers who were not a part of the culture they observed. The result is a colonized version of the knowledge, one that is distorted and trivialized by an ill-suited Eurocentric paradigm of scientific investigation and classification. In Our Knowledge Is Not Primitive, Wendy Makoons Geniusz contrasts the way in which Anishinaabe botanical knowledge is presented in the academic record with how it is preserved in Anishinaabe culture. In doing so she seeks to open a dialogue between the two communities to discuss methods for decolonizing existing texts and to develop innovative approaches for conducting more culturally meaningful research in the future. As an Anishinaabe who grew up in a household practicing traditional medicine and who went on to become a scholar of American Indian studies and the Ojibwe language, Geniusz possesses the authority of someone with a foot firmly planted in each world. Her unique ability to navigate both indigenous and scientific perspectives makes this book an invaluable contribution to the field of Native American studies and enriches our understanding of the Anishinaabe and other native communities.

This book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry and academia. Knowledge graphs are founded on the principle of applying a graph-based abstraction to data, and are now broadly deployed in scenarios that require integrating and extracting value from multiple, diverse sources of data at large scale. The book defines knowledge graphs and provides a high-level overview of how they are used. It presents and contrasts popular graph models that are commonly used to represent data as graphs, and the languages by which they can be queried before describing how the resulting data graph can be enhanced with notions of schema, identity, and context. The book discusses how ontologies and rules can be used to encode knowledge as well as how inductive techniques—based on statistics, graph analytics, machine learning, etc.—can be used to encode and extract knowledge. It covers techniques for the creation, enrichment, assessment, and refinement of knowledge graphs and surveys recent open and enterprise knowledge graphs and the industries or applications within which they have been most widely adopted. The book closes by discussing the current limitations and future directions along which knowledge graphs are likely to evolve. This book is aimed at students, researchers, and practitioners who wish to learn more about knowledge graphs and how they facilitate extracting value from diverse data at large scale. To make the book accessible for newcomers, running examples and graphical notation are used throughout. Formal definitions and extensive references are also provided for those who opt to delve more deeply into specific topics.