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Quantitative Analysis of Gendered Assumptions in a Nineteenth-Century Women’s Encyclopedia

  • This paper quantifies textual patterns relating to gendered assumptions in a fairly unique text, an entire “women’s encyclopedia” from 1830’s Germany, which at 10 volumes and 1,461,000 word tokens was of comparable size to contemporary general encyclopedias, but written and marketed for a female audience. We perform experiments on classifying gender of biographical entries and querying a specific textual feature, calendar dates, with context from comparison 19th-20th century encyclopedias from the EncycNet corpus.

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Author:Eric KetzanORCiDGND, Thora HagenORCiD, Fotis JannidisORCiDGND, Andreas WittORCiDGND
URN:urn:nbn:de:bsz:mh39-130938
URL:ttps://dh2022.adho.org/
Parent Title (English):"Responding to Asian Diversity". DH2022. Digital Humanities 2022. Conference Abstracts. July 25-29, 2022. Online. Tokyo, Japan. The University of Tokyo
Publisher:DH2022 Local Organizing Committee
Place of publication:Tokyo
Document Type:Conference Proceeding
Language:English
Year of first Publication:2022
Date of Publication (online):2025/04/02
Publishing Institution:Leibniz-Institut für Deutsche Sprache (IDS)
Publicationstate:Veröffentlichungsversion
Reviewstate:Peer-Review
Tag:women's encyclopedia
EncycNet; gendered assumptions
GND Keyword:Geschlechterforschung; Korpus <Linguistik>; Quantitative Analyse; Textlinguistik
First Page:270
Last Page:273
DDC classes:400 Sprache / 430 Deutsch / 430 Deutsch
Open Access?:ja
BDSL-Classification:Textwissenschaft
Linguistics-Classification:Textlinguistik / Schriftsprache
Program areas:Digitale Sprachwissenschaft
Licence (German):License LogoUrheberrechtlich geschützt