JOURNAL ARTICLE

The dragon caught in amber: Greyhawk novels as narrative adaptations of adventure modules.

  • Published In: Journal of Gaming & Virtual Worlds, 2024, v. 16, n. 2. P. 185 1 of 3

  • Database: Applied Science & Technology Source Ultimate 2 of 3

  • Authored By: Särkijärvi, Jukka; Juntunen, Hanne 3 of 3

Abstract

This article focuses on the adaptation of tabletop role-playing game (TRPG) adventure modules into fixed-narrative tie-in novels, specifically examining Thomas M. Reid’s *The Temple of Elemental Evil* and Pauli Kidd’s *White Plume Mountain*, both based on classic Dungeons & Dragons (D&D) modules. It explores how these novels negotiate the tension between the participatory, open-ended nature of TRPGs and the fixed narrative form of novels by employing what the authors term the "logic of unfolding" and the "logic of cartography," reflecting the spatial and narrative structures of the original modules. The study highlights how the novels engage in intertextual dialogue with the modules, recreating familiar settings and plot points while also exercising creative liberties to appeal to readers familiar with the source material, thereby contributing to the larger realized world of D&D. The article situates these adaptations within the broader context of role-playing game studies and media tie-in fiction, emphasizing their cultural significance and the need for further scholarly attention to this under-theorized genre.

Additional Information

  • Source:Journal of Gaming & Virtual Worlds. 2024/06, Vol. 16, Issue 2, p185
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2024
  • ISSN:1757191X
  • DOI:10.1386/jgvw_00104_1
  • Accession Number:181772429
  • Copyright Statement:Copyright of Journal of Gaming & Virtual Worlds is the property of Intellect Ltd. 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.