JOURNAL ARTICLE

ON THE FICTIONALITY OF MURAKAMI HARUKI'S "THE ANTEATER IN MUSASHI-SAKAI: KAHO, PART II".

  • Published In: Synergy (1841-7191), 2026, v. 22, n. 1. P. 145 1 of 3

  • Database: Humanities Source Ultimate 2 of 3

  • Authored By: XIAO, Yao 3 of 3

Abstract

This paper examines Murakami Haruki's short story "The Anteater in Musashi-Sakai: Kaho, Part II (Musashi-Sakai no arikui -- Kaho sono 2, hereafter referred to as "The Anteater in Musashi-Sakai"2) from the perspectives of spatial theory and suburban studies, focusing on the representation of Musashi-Sakai as a "Tokyo suburb." While Murakami's previous research tends to emphasize the binary oppositions expressed through the narrative structure of the "real world" versus the "other side", this paper explores how as the boundaries separating these two dimensions are deconstructed in "The Anteater in Musashi-Sakai". Through an examination of everyday spaces such as verandas and shopping streets, this paper argues that Musashi-Sakai appears as a stratified space composed of overlapping historical layers and multiple boundaries, in which the extraordinary is embedded within the realities of suburbanization process. Furthermore, by analyzing the narrative's ambiguous temporal representation, this paper demonstrates that the text constructs a composite space in which different stages of Musashi-Sakai coexist, revealing historical processes while reconfiguring them within a fictional framework. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Synergy (1841-7191). 2026/01, Vol. 22, Issue 1, p145
  • Document Type:Article
  • Subject Area:Literature and Writing
  • Publication Date:2026
  • ISSN:18417191
  • DOI:10.24818/SYN/2026/22/1.09
  • Accession Number:193822347
  • Copyright Statement:Copyright of Synergy (1841-7191) is the property of Editura ASE 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.