Pygmalion and Medusa as Cixous’ writing women in<i>InSEXts</i>: ‘I Write Woman’
Bibliographic record
Abstract
Abstract Set in nineteenth century Europe, InSEXts tells the story of Lady Bertram and Mariah, two women in a romantic relationship who can transform into insects in order to defend their nascent family. In the second arc of the series, The Necropolis, Lady Bertram, and Mariah are joined by Phoebe (a Black, transgender artist) whose friends are being transformed into art by members of the patriarchal art community, who value women only as silent and beautiful Muses. Allying with ‘Medusa’, a misidentified Javanese goddess who has been forcibly brought to Europe, Lady Bertram and Mariah thus enter a narrative replete with Greek and Roman mythology. In this paper, the author sets out to demonstrate that, through the receptions of Pygmalion and Medusa, InSEXts: The Necropolis effectively reflects Cixous’ ‘Laugh of the Medusa’, replicating the empowerment of female creativity which Cixous suggests. By mirroring these Ovidian intertexts and becoming ‘writing women’ themselves, comics creators Bennett and Kristantina allow their own characters to re-write and subvert traditional narratives, to tell their own stories that represent elements of Ovidian narrative to respond to and embody the kind of female creativity advocated by Cixous.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.018 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".