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Cognitive Linguistic Models for Analyzing Characterization in a Parable

Luke 10:25–37 The Compassionate Samaritan

Bibliographic Data

ID21586014
AuthorsBonnie Howe (New College Berkeley, Berkeley, CA, USA, [email protected]), B G Howe (Berkeley College), Eve Sweetser (UC Berkeley, Berkeley, CA, USA, [email protected])
Year2021
Volume29
Issue4-5
Pages467-497
Publication date2021-11-12
Open AccessYes
TypeARTICLE
VenueBiblical Interpretation (JOURNAL)
Journal identifiersISSN: 0927-2569 • E-ISSN: 1568-5152
PublisherWalter de Gruyter GmbH (PUBLISHER • DE)
DOI10.1163/15685152-29040004
OpenAlexW3215655297
LanguageEN
Citations received2

This study employs an array of cognitive linguistic ( cl ) models to reveal some of the details in how contemporary readers understand and interpret characters in a New Testament parable, the one often tagged “The Good Samaritan.” It also uses cognitive narrative analysis to explore how Luke constructs and develops the dialog partners in the pericope and the characters in the parable. The larger goal is to use cl to reveal some of the ways in which meanings are evoked, constructed, constrained and opened up. The parable is embedded in a larger narrative and immediate co-text, its characters selected from the stock of Lukan personae. The study explains how narrative spaces are built up; how characters serve as anchors and links to the larger narrative; and how viewpoint shifts proliferate as the story unfolds. The Lukan narrator makes Jesus’ viewpoint clear: “Do this, and you will live!” Readers are implicitly invited to identify with the compassionate character of the parable and emulate him. But the opening question and closing dialog shape the parable’s point, expanding its trajectory beyond mere moral rule revision or definitions of “neighbor” or even of “good” character. This parable allows readers to imagine with Luke a way of life lived in the light of the new epoch Jesus is announcing and inaugurating

Aesthetics · Art · Biblical studies · Dialog box · Linguistics · Literature · Narrative · New Testament · Biblical Studies and Interpretation · Computer Science · Historical and Linguistic Studies · History · Mathematics · Philosophy

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Citations per year0.5
Citation span2022 - 2023 (2)
Highly citedNo
Open DOI
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae