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Two Sets of two Hunters: The Illusion of Gomen in Sir Gawain and the Green Knight

Authors: Sarah J. Sprouse;

Two Sets of two Hunters: The Illusion of Gomen in Sir Gawain and the Green Knight

Abstract

The parallel hunting and bedroom scenes in Sir Gawain and the Green Knight have been much discussed by scholars, though the argument usually centers on Lady Bertilak’s role as a hunter. Exploring the poem through the lens of game theory demonstrates that not only is Gawain a hunter, but also that the central Exchanges Game is not a game, but rather an illusion of a game. This revelation opens up a means of investigating the Anglo-Norman and Welsh roles of the landscape and characters that both facilitate such an illusion but also cause a political tension in the poem. This article contends through close readings and historiographic analysis that the reader’s identification with Gawain sets up an unease by the end of the poem when the figures of Bertilak, Lady Bertilak, and Morgan La Fay are revealed as both Otherworldly and decidedly Welsh. This discomfort is a means of reacting to and interrogating Anglo-Norman appropriation of Arthuriana.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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