- email: email@example.com (work) / firstname.lastname@example.org (home)
- mail: King’s College, King’s Parade, Cambridge, CB2 1ST, UK
- twitter: @quadrismegistus
I am Junior Research Fellow in ‘Immateriality’ at King’s College, Cambridge, where I study English literature and the digital humanities. My work brings computational methods of text analysis to the study of literature and its history. I work on changes in literary language across the modern period; on historical semantics; computational poetics; literary geography; and the theory and methods of the digital humanities more broadly. I recently received my PhD in English from Stanford University, where I was a founding member of the Stanford Literary Lab and its Associate Research Director from 2011 to 2015. You can also find me on Twitter; Github; Google Scholar; Academia.edu; or by email at email@example.com.
Abstraction: A Literary History
My first book project, Abstraction: A Literary History, traces a slow-moving rise and fall in abstract language across centuries of literary history. Mixing close and distant reading, the book uncovers how these changes in literary semantics mediate changes in social organization. I focus on three literary forms of abstract language: ‘abstract style’, in the syntactic symmetries and semantic formulae of the periodical essay; ‘abstract persons’, in the personified abstractions of the mid-century ode; and ‘abstract realism’, in the “tell, don’t show” narration of the early realist novel. Through this history and framework, the book also aims to recuperate abstraction as both a method and an object of literary study.
- 2020-02-18: “Abstract Realism” (visual summary of the chapter on fiction)
I am also beginning a second book project which examines the role of computation to changes since the 1970s in the global composition of labor. Computation – from its theoretical roots in the 1940s, to its military-academic development in the 1950s and ’60s, to its invasion of industry in the 1970s, personal computing in the ’80s and internetworked computing in the ’90s – has revolutionized nearly every aspect of modern life. And yet analyses of computation’s role in culture today often remain caught between techno-libertarian boosterism and reactionary critique. Imprecisely hailed as a ‘fourth industrial revolution’, computation is in fact inseparable from the deindustrialization of the Global North since the 1970s through computerized models of global supply chain management. Although Marxian accounts of these changes in the global composition of labor exist – most notably post-operaismo accounts of immaterial (Hardt & Negri, Lazzarato) or cognitive labor (Vercellone, Boutang), as well as more recent ‘post-post-operaismo’ accounts of digital labor (Huws, Fuchs) or cybernetic capitalism (Dyer-Witheford) – such frameworks never fully escape their frequent criticism: that they over-emphasize the cognitive dimensions of labor while under-appreciating its continued basis in material work, especially the domestic and socially-reproductive work often performed by women. The ongoing Covid-19 health and employment crisis has only sharpened such seemingly abstract debates, as workers are now divided between those who can and cannot work from home, or between those who must materially expose their body to the risk of viral infection and those who, often by dint of the computer, can dislocate themselves from the normal place of production and procure their bodily safety – at the cost of domesticating and parallelizing production in the home. This book argues that such changes in social organization since the 1970s be understood more thoroughly in terms of the structure of computation, as well as its own historical changes as it evolves from the human-designed to the ‘machine learning’ algorithm.
2020-07-14: “Computer Virus” (section of draft on computation and Covid-19)
2020-05-25: “The Viral Medium” (submission to Re:Enlightenment conference)
Cambridge Keydata Project
I am directing a new collaborative digital humanities project based working at the intersection of computational semantics and conceptual history – the title alluding to Raymond Williams’ classic 1976 text, Keywords: A Vocabulary of Culture and Society. Co-directed with Pete de Bolla, Prof. of English there, and bringing together linguists, computer scientists, literary scholars, historians of political thought, and others, to join in a shared project in digital knowledge. Based in Cambridge, the project is also open to virtual collaboration (as, indeed, everything now is) – do get in touch if you have.
I am working with Arto Anttila and Paul Kiparsky, metrical phonologists at Stanford, to design tools to evaluate the ‘antimetricality’ of a text: the degree to which its stress patterns depart from any known metrical pattern. Such measurements of metrical ‘tension’ or ‘ambiguity’ have a history: prose most distances itself rhythmically from verse at the height of the eighteenth century. We have a pre-print of a paper available here.
Word Vectors in the Eighteenth Century
This page is meant as a set of links and resources related to my work using word vectors to study eighteenth-century literature. This work asks the question: how can new vector-based models of semantics reveal the historicity of specific configurations of meaning in eighteenth-century literature? Most of this work is published serially as blog posts, linked below. The later of these are “slideshow essays”-experiments with the forms of visual rhetoric that work so well in the digital humanities-rather than traditional blog posts. There is also a video of a talk I’ve given about this work. Lastly, I’ve uploaded several word2vec models I’m using, trained on a corpus of eighteenth-century literature; and linked to some relevant code (more code will be coming soon).
2016-04-14: Part 1. Concepts
2016-06-01: Part 2. Methods
2016-09-10: Part 3. From Fields to Vectors
2016-09-25: Part 4. Semantic Networks
- 2020-07-14: Computer Virus
Occasionally I post graphs and brief summary results to Twitter of my DH work as it proceeds.
2020-03-14: Tracing types of semantic change
2020-03-06: Measuring anthropomorphism
2020-01-29: A linguistic map of the canon
2020-01-16: Clarissa under the microscope
2019-10-13: Academic job numbers in English literature
2019-08-28: Figure 1 of my dissertation
2019-02-07: Measuring personification
2018-11-05: Agency Index
2018-07-12: Character space in Sense and Sensibility
2018-01-30: Abstraction vs. judgment
2018-01-23: Computational Keywords
2017-11-06: Abstraction vs. agency
2017-09-26: Sociography of the 18th century print market
2017-07-28: Transformation of ‘labour’
2017-07-13: Understanding OCR errors
2017-07-03: Most reprinted 18th century texts
2017-06-23: Corpus vs. bibliography
2017-06-15: Exponential rise of print market in 18th century
2017-04-28: Computational model takes standardized test
2017-03-26: World literary trends (part 2)
2017-03-25: World literary trends (part 1)
2017-12-18: ELIZA’s descendants
2016-09-15: Semantic networks
2016-06-16: Semantic fields in vector space
2016-06-15: Diachronic semantic networks
2014-06-09: Reading at meso-scale with Moby-Dick
Prosodic: A metrical-phonological parser, written in Python. For English and Finnish, with flexible language support.
Poesy: Tools for poetic analysis (stanzaic, metrical, and rhyme forms), written in Python.
LLP: Literary Language Processing (LLP): corpora, models, and tools for the digital humanities, in Python.
Slingshot: Python wrapper for MPI to “slingshot” a small Python or R function against the Goliath of Big Data.
- See here