JOURNAL ARTICLE

Conceptualizing the Embodied Cognition of Uncertainty in Two Terrifying Tales: Lucy Lane Clifford's "The New Mother" and Neil Gaiman's Coraline.

  • Published In: Marvels & Tales, 2023, v. 37, n. 2. P. 217 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Kérchy, Anna 3 of 3

Abstract

A comparative analysis of Neil Gaiman's dark fantasy novella Coraline and its source of inspiration, Lucy Clifford's Victorian cautionary tale "The New Mother," explores how the ominous dread related to the monstrous mother figure and the abjectification of the self are transformed into a "funcanny" experience in the postmodern rewriting. By relying on methodologies of corporeal narratology and cognitive poetics I study the embodied cognition of uncertainty during the child protagonists' psychic/physical confrontation with the unheimlich and the je ne sais quoi as forms of undecidability. The analysis maps linguistic attempts at formulating cognitive dissonance, tip-of-the-tongue phenomena, and subconscious thoughts. While Clifford uses narrative gaps to offer a metaimaginative insight into the catastrophic consequences of interpretive failures resulting from the misunderstanding of verbal and corporeal signs of disorientation, Gaiman's mind-reading instances of "psychonarration" reveal the troubled child's mental coping mechanisms, to celebrate infantile curiosity and fantasy in terms of gifts of empowerment, resilience, and empathy. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Marvels & Tales. 2023/07, Vol. 37, Issue 2, p217
  • Document Type:Article
  • Subject Area:Literature and Writing
  • Publication Date:2023
  • ISSN:1521-4281
  • DOI:10.1353/mat.2023.a923683
  • Accession Number:176632494
  • Copyright Statement:Copyright of Marvels & Tales is the property of Wayne State University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.