Transgressive Automatons. Re-Visioning the Cyborg in Larissa Lai’s Rachel
Transgressive Automatons. Re-Visioning the Cyborg in Larissa Lai’s Rachel
Author(s): Agnieszka PodrucznaSubject(s): Language and Literature Studies, Fine Arts / Performing Arts, Film / Cinema / Cinematography
Published by: Wydawnictwo Uniwersytetu Jagiellońskiego
Keywords: postcolonial science fiction; cyborg; Larissa Lai; Blade Runner
Summary/Abstract: The article aims to analyze the ways in which Larissa Lai, in her short story Rachel, appropriates and racializes the figure of the cyborg by re-visioning and retelling the story of one of the most iconic characters in the history of cinema, the android Rachael from Ridley Scott’s Blade Runner (and, by extension, her literary predecessor).Using postcolonial theory as well as theory of science fiction as the primary methodological frameworks, the article demonstrates how – by infusing the character of Rachael/Rachel with a hybrid identity – Lai engages in a discussion concerning race, belonging, and the power struggle between the central and the peripheral. This struggle, in turn, is embodied by the liminality of the cyborg, who may be interpreted as a metaphor for all that eludes (and actively rejects) the colonial Self–Other binary. This, in turn, highlights the tensions accompanying the intrusion of the peripheral into the hegemonic and allows for a more in-depth discussion of the processes concerning negotiation of identity.Moreover, the paper focuses on the way in which Lai constructs the metaphor of the Othered, racialized cyborg in order to deconstruct the notion of the cyborg perceived as a neutral (i.e. white) entity, writing against the hegemonic canon. In this way, the racialized cyborg stands as the symbol of transgression, rebellion and rejection of the center/periphery dichotomy, one which eschews the (neo)colonial binaries and becomes a source of anxiety for the hegemonic discourse.
Journal: Przegląd Kulturoznawczy
- Issue Year: 55/2023
- Issue No: 1
- Page Range: 69-83
- Page Count: 15
- Language: English