KAŠE, Vojtěch, Nina NIKKI and Tomáš GLOMB. Righteousness in Early Christian Literature : Distant Reading and Textual Networks. Annali di Storia dell'Esegesi. Centro Editoriale Dehoniano, 2022, vol. 39, No 1, p. 87-120. ISSN 1120-4001.
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Basic information
Original name Righteousness in Early Christian Literature : Distant Reading and Textual Networks
Authors KAŠE, Vojtěch (203 Czech Republic), Nina NIKKI (246 Finland) and Tomáš GLOMB (203 Czech Republic, guarantor, belonging to the institution).
Edition Annali di Storia dell'Esegesi, Centro Editoriale Dehoniano, 2022, 1120-4001.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 60304 Religious studies
Country of publisher Italy
Confidentiality degree is not subject to a state or trade secret
WWW URL URL
RIV identification code RIV/00216224:14210/22:00129131
Organization unit Faculty of Arts
Keywords in English Righteousness; Paul; Early Christianity; Distant reading; Quantitative textual analysis; Textual networks; Morality
Tags rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. et Mgr. Stanislav Hasil, učo 415267. Changed: 23/3/2023 17:03.
Abstract
The article joins the scholarly discussion about the meaning of righteousness language in biblical literature with consideration of changes in the concept from archaic Greek literature to fourth-century Christian texts. The article seeks to showcase and evaluate how methods from the area of computational linguistics and distributional semantics can contribute to the discussion. The article suggests that, together with formal network models, namely word co-occurrence networks and similarity networks, the methods reveal changes in large corpora of textual data which are too subtle to be detected by close reading. On the other hand, some questions require or benefit greatly from combining distant and close reading methods.
Links
GA20-01464S, research and development projectName: Kulturní evoluce moralizujících náboženství ve starověkém Středomoří: Přístup distančního čtení (Acronym: CEMRAM)
Investor: Czech Science Foundation
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