We Shall be Monsters: Frankenstein Two Centuries On - Poetry (Go to Fiction)
Mary Shelley published Frankenstein in 1818, sparking the genres of horror and science fiction. On this, the 200th anniversary of its publication, the narrative is more relevant than ever. We live in an age where we need to ask critical questions about the limits of science. How do scientific pursuits relate to the body? Attention to issues of disability lead us to consider how identity relates to the body, and how the body can shift and change over time. Shelley’s bodily assemblage – a collective of parts given life – still shapes our ideas about ourselves, and about what we create to be our monsters. This anthology will gather together tales inspired by Shelley’s strange alchemy, lightning strikes of inspiration from Frankenstein. We are looking for a broad range of stories, from direct interactions with Shelley’s texts to explorations of the stitched, assembled body and narrative experiments in monstrous creations.
We Shall Be Monsters is a fiction collection that will feature explorations of disability through Frankenstein, queer and trans identity, ideas of race and colonialism. Shelley’s story provides a space for exploring a multitude of identities through the figure of the sympathetic outsider. Frankenstein’s “monster” is a figure of Otherness, and one that can tell stories of exclusion and social oppression.
Stories do not need to be JUST about Frankenstein or his monster. We hope to get stories that play with ideas around Frankenstein and inspired by the theme. Of course, we want some stories that deal with Mary Shelley’s text.
This statistical information is an aggregation of submission data provided by our members. The more data we have the more accurate our
numbers will be so please be sure to log all of your submissions here and not just your rejections or acceptances.
There are 0 completed reports in the past 12 months.
Averages and Boundaries:
0 min | 0.00 mean avg | 0 median | 0 max days
0.00%(0.00% of rejections are personal)
0 pending responses (0 min | 0 mean avg | 0 median | 0 max days waiting) Note: pending statistics may skew high if some users neglect their data. We recommend querying after the time the market suggests to query.