The Eye of Modernism:
Visualities of British Literature, 1880—1930
Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy under the Executive Committee of the Graduate School of Arts and Sciences, Columbia University
2023
© 2023 Jonathan Reeve. All Rights Reserved.
All text released under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). All source code released under the GNU General Public License, Version 3. Please find the canonical edition of this work at dissertation.jonreeve.com, and its source code at github.com/JonathanReeve/dissertation.
WARNING: This is a preview of my dissertation, and represents its current state, which is very much a work-in-progress.
Abstract
Abstract here.
Table of Contents
List of Charts, Graphs, Illustrations
- Introduction
- Chapter 1: Color
- Figure 1: Base color proportions, by author date of birth, smoothed with a five-year average
- Figure 2: “Post-Impressions of the Post-Impressionists” (The Bystander 375)
- Figure 3: Proportions of the color yellow in novels and poems, according to date of publication.
- Figure 4: The cover of the inaugural issue of The Yellow Book
- Figure 5: Proportions of the color mauve in the Google Books corpus of English Fiction, in the 19th Century
- Figure 6: Walter Sickert, Ennui, 1913
- Figure 7: Colors in To the Lighthouse, plotted in narrative time. For an interactive plot, see ./includes/lighthouse.html.
- Figure 8: Colors in Portrait of the Artist as a Young Man, plotted in narrative time.
- Figure 9: \(CM_X\) “-ish” Word Matrix
- Figure 10: Color Associations Word Clouds. Click on a word cloud to visualize categorizations of these words.
- Figure 11: Hypernym tree map for red, using WordNet hypernyms
- Figure 12: A page from Ridgway’s 1912 Color Standards and Color Nomenclature
- Figure 13: A page from Saccardo’s 1894 Chromotaxia
- Figure 14: Color map average vector similarity with selected words
- Figure 15: Syntax dependency parse of “slopes of bright green grassland lay above them”
- Figure 16: Color inferences for grass, from \(M_P\).
- Figure 17: Color inferences for sheep, from \(M_P\).
- Figure 18: Color inferences for apples, from \(M_P\).
- Figure 19: Image-based model inferences, with example images.
- Figure 20: HSL Projection of To the Lighthouse Nouns. (Interactive version here. Due to the size of the data contained, it could take up to 30 seconds to load.)
- Figure 21: Data Flow Chart for Imagination Model
- Figure 22: Color proportions in literature, by date of publication
- Box Plot of Individual Color Words
- Figure 23: Base Color Proportions by LCSH
- Figure 24: Base Color Proportions By Genre
- Chapter 2: Shape
- Figure 1: Object proportions over time, \(C_{PG2}\)
- Figure 2: living_thing.n.01 proportions over time, \(C_{PG2}\)
- Figure 3: natural_object.n.01 proportions over time, \(C_{PG2}\)
- Figure 4: artifact.n.01 proportions over time, \(C_{PG2}\)
- Figure 5: Body parts by year of publication, \(C_{PG2}\)
- Figure 6: Body part sums, \(C_{PG2}\)
- Figure 7: Body Part Sums, Body Projection, \(C_{PG2}\)
- Figure 8: Sensory homonculus illustration. Source: OpenStax College; Wikimedia Commons; CC-BY
Acknowledgments
This dissertation would not have been possible without the advice and support of a large network of scholars, at Columbia University and elsewhere. I’d like to thank my dissertation committee: Sarah Cole, Matthew Hart, and Dennis Tenen; Explosion AI, who generously donated a research license to Prodigy, their proprietary human-in-the-loop AI model training software; and the members of the 20/21st Century Colloquium at Columbia University, who provided useful feedback on early drafts of the first chapter.