An expansive case for bibliography as infrastructure in information science.
Cats, Carpenters, and Accountants argues that bibliography serves a foundational role within information science as infrastructure, and like all infrastructures, it needs and deserves attention. Wayne de Fremery's thoughtful provocation positions bibliography as a means to serve the many ends pursued by information scientists. He explains that bibliographic practices, such as enumeration and description, lie at the heart of knowledge practices and cultural endeavors, but these kinds of infrastructures are difficult to see. In this book, he reveals them and the ways that they formulate information and meaning, artificial intelligence, and human knowledge.
Drawing on scholarship from areas as diverse as data science, machine learning, Korean poetry, and the history of bibliography, de Fremery makes the case for understanding bibliography as a generative mode of accounting for what has been received as data, what he calls "carpentry-accounting." Referencing a well-known debate in the Anglo-American bibliographical tradition that features a willful cat, he suggests that bibliography and bibliographers are intentionally marginal figures who, paradoxically, perform foundational work in the service of the diverse disciplinary ends that formulate, however loosely, information science as a field. When we attend to the marginal but essential work of accounting for what humankind has fashioned as recorded knowledge, it becomes easier to consider the ways that human accounts can serve and, sometimes, injure us. Relevant to scholars and students from the sciences to the humanities, Cats, Carpenters, and Accountants is a highly original argument for bibliography as a marginal but foundationally powerful force shaping information science as a field and the ways that we know.

Wayne de Fremery is Professor of Information Science and Entrepreneurship at Dominican University of California, where he also directors the Françoise O. Lepage Center for Global Innovation.

Preface
Acknowledgments
Introduction
Part I
1 A List of Keywords
2 Lists as Infrastructure: An Infrastructural Inversion
3 The Powers and Pleasures of Lists and the Coordination of Context
4 What Unfamiliar Lists Afford
Part II
5 From Enumeration to Description: Knowledge Graphs and Graphing Knowledge
6 Describing the Archimedes Palimpsest
7 Descriptive Accounts of Biological Metaphors in Bibliography
8 New Bibliographical Description
9 Bibliographical Description, Printers of the Mind, and the Sociology of Texts
10 Models, Modeling, and the Socialization of Data
11 Data Science and Machine Learning as New Bibliographical Description
12 Bibliography and the Sociology of Data
Coda Our "Age of Algorithms"
Notes
Bibliography
Index