On September 3rd we had our second meeting of the Stanford Digital Humanities Reading Group, in which we discussed Matt Jockers’s new book, Macroanalysis: Digital Methods & Literary History. Because Jockers is a former colleague, a co-founder of Stanford’s Literary Lab, and a friend to several people in the reading group, I went into this meeting anxious that we might all be too happy with his book to sustain ninety minutes of conversation. I was very wrong. Jacqueline Hettel, whose Ph.D. research focused on text analysis of domain-specific language using corpus linguistics, prompted a vigorous debate about the methods Jockers uses in Macroanalysis. Hettel’s primary critique is that the statistical methods behind topic modeling, word frequencies, and other methods that undergird the book’s chapters are heavily dependent upon a set of assumptions common to NLP, Chomsky, and other primarily American approaches to understanding language.
Topic models, for example, rely on the assumption that Bayesian analysis can accurately describe how language works. When Jockers, in chapter 7 (“Nationality”) relies on the mean usage of the word “the”, he assumes that language has a Gaussian distribution. Hettel prefers a log-likelihood method, among others, owing to her training in the school of linguistic thought exemplified by her major professor William Kretzschmar, who follows John Firth and others in what is known as the “London School”. I am not a statistician nor a linguist, so it did not occur to me that the statistical methods Jockers uses might be controversial or, more importantly, that they make assumptions about the nature of language. This topic led the group to consider the purpose of the book, the audience, and its relationship to more traditional modes of literary scholarship. Is the evidence in support of Jockers’s argument meant to get at some truth, and hence tangled up with the problems of scientism, or, as Blevins asked, is the evidence he presents more akin to the sort we find in a close reading, where the force of argument is driven by a persuasive narrative?
Moreover, Jockers, whose Ph.D. is in English and who is a scholar of Irish literature, is not a linguist or statistician either. Was his use of tools like relative work frequencies, topic models, and part-of-speech taggers a conscious choice that reflects his understanding of the nature of language or an unconscious one borne of an ignorance of this other realm of quantitative studies of language? In using methods that edge so close to those that have been used in linguistics for a relatively long time compared to the newness of quantitative text analysis in digital humanities, Jockers prompts us to think about how such scholarship may overlap disciplines in which we lack enough expertise to even understand what our choices entail. Indeed, my uneasy truce with the use of topic models for literary analysis stems from my keen awareness of how little I understand about the assumptions behind Latent Semantic Analysis.
We must also consider the context not only of the language under study, a point Hettel emphasized, but also the context in which the methods were chosen. Perhaps owing to the work of Stanford’s Natural Language Processing group, led by Christopher Manning and Dan Jurafsky, Jockers was led when he began his work in this area towards tools like the Stanford POS Tagger and others that imply certain language models of which those of us using such tools are not fully aware.
We also touched upon the nature of classification in digital humanities, which Ted Underwood has written about recently on his blog. In Macroanalysis, Jockers regularly classifies texts according to genre, nationality, or gender, but one of these things is not like the others. Genre, as studies in neuroscience and cognitive literary theory have shown (and which is the topic of my own dissertation), is not a static box into which texts may be placed, but instead a network of associations more in line with Jauss’s “horizon of expectations”, which emphasizes the reader’s prior knowledge and the interrelated nature of features in literary works. There is little acknowledgement in Jockers’s book that genres possess an internal structure or that this structure is not accessible via machine-learning classification methods as currently deployed by digital humanists.
Linguistics, education, and the Ebonics firestorm Georgetown-University Round Table Meeting on Language and Linguistics RICKFORD, J. GEORGETOWN UNIV PRESS. 2002: 25–45 View details for Web of Science ID 00002. Wolfram & Schilling Chapter 4, p. 167-200; Oct 9: Johnstone, Barbara (2013) The history of Yinz and the outlook for Pittsburghese, from Speaking Pittsburghese: The story of a dialect (Chapter 9). Van Herk, Gerard (2008) Fear of black phonology: The Northern Cities Shift as linguistic White flight.
This objection returns us to the core question about the book’s audience and purpose. I have seen several people on Twitter note that they could use this book as something like a textbook for a digital humanities course. And, as Worthey rightly noted, Jockers does a masterful job of leading potential skeptics “by the nose” from simple, seemingly straight-forward (though still novel) analyses to the more arcane world of network graphs derived from topic models and stylometrics. I suspect that this book has in mind at least both the audience of skeptics and the already converted who want to know precisely what algorithms he used to derive his findings.
Keynote apple. The book prompted an invigorating conversation that touched on these and other issues that, as digital humanities scholars, we should engage with regularly and critically. Our next discussion will focus on the collaboratively-authored 10 PRINT, a very different kind of book. If you are in the Bay Area and free that day, we invite you to join our discussion.
![Linguist Linguist](https://linguistics.stanford.edu/sites/g/files/sbiybj13581/f/nwav_stanford.jpg)
Attendees: Cameron Blevins, Jason Heppler, Jacqueline Hettel, Karl Grossner, Michael Widner, Glen Worthey
Reviews of Macroanalysis:
Mike Kestemont, LLC, http://llc.oxfordjournals.org/content/early/2013/08/22/llc.fqt056.full
Scott McLemee, IHE: http://www.insidehighered.com/views/2013/05/01/review-matthew-l-jockers-macroanalysis-digital-methods-literary-history
Scott Weingart: http://www.scottbot.net/HIAL/?p=34566
Matthew Wilkins, LA Review of Books: http://lareviewofbooks.org/review/an-impossible-number-of-books/
LINGUIST List 16.167
Thu Jan 20 2005
Books: Discourse Analysis/Pragmatics/Socioling: Kendon
Editor for this issue: Megan Zdrojkowski<meganlinguistlist.org> Islanders 2019 2020 schedule.
Directory
1. JoyceReid,Gesture: Kendon
Message 1: Gesture: Kendon
Date: 18-Jan-2005From: Joyce Reid <jreidcup.org>
Subject: Gesture: Kendon
Linguist 1 Stanford
Title: GestureSubtitle: Visible Action as Utterance
Published: 2004
Publisher: Cambridge University Press
http://www.cup.org
Book URL: http://us.cambridge.org/titles/0521835259
Author: Adam Kendon, University of Pennsylvania
Hardback: ISBN: 0521835259 Pages: 410 Price: U.K. £ 50.00
Hardback: ISBN: 0521835259 Pages: 410 Price: U.S. $ 90.00
Hardback: ISBN: 0521835259 Pages: 410 Price: AUS $ 180.00 Comment: price inclusive of GST
Abstract:
Gesture, or visible bodily action that is seen as intimately involved in
the activity of speaking, has long fascinated scholars and laymen alike.
Written by a leading authority on the subject, this long-awaited study
Linguist 167 Stanford Ave
provides a comprehensive treatment of gesture and its use in interaction,
drawing on the analysis of everyday conversations to demonstrate its varied
role in the construction of utterances. Adam Kendon accompanies his
analyses with an extended discussion of the history of the study of gesture
- a topic not dealt with in any previous publication - as well as exploring
the relationship between gesture and sign language, and how the use of
gesture varies according to cultural and language differences. Set to
become the definitive account of the topic, Gesture will be invaluable to
all those interested in human communication. Its publication marks a major
development, both in semiotics and in the emerging field of gesture studies.
1. The domain of gesture
2. Visible action as gesture
3. Western interest in gesture from classical antiquity to the eighteenth
century
4. Four contributions from the nineteenth century: Andrea de Jorio, Edward
Tylor, Garrick Mallery and Wilhelm Wundt
5. Gesture studies in the twentieth century: recession and return
6. Classifying gestures
7. Gesture units, gesture phrases and speech
8. Deployments of gesture in the utterance
9. Gesture and speech in semantic interaction
10. Gesture and referential meaning
11. On pointing
12. Gestures of the 'precision-grip': topic, comment and question markers
13. Two gesture families of the open hand
![Linguist 167 Stanford Linguist 167 Stanford](https://stanfordhealthcare.org/bin/api/gmapthumbnail.png/37.44147,-122.16880)
14. Gesture without speech: the emergence of kinesic codes
Linguist 167 Stanford University
15. Gesture and sign on common ground
16. Gesture, culture and the communication economy
17. The status of gesture
Appendix I. Transcription conventions
Appendix II. The recordings.
Linguist 167 Stanford Dr
Linguistic Field(s):Discourse AnalysisHistory of Linguistics
Pragmatics
Semantics
Sociolinguistics
Written In: English (ENG )
See this book announcement on our website:
http://linguistlist.org/get-book.html?BookID=12972
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