Reclaiming My Sister, Medusa: A Critical Autoethnography About Healing From Sexual Violence Through Solidarity, Doll-Making, and Mending Myth
Bibliographic record
Abstract
According to the poet Ovid, Medusa was a beautiful maiden, who was raped by Poseidon in Athena’s temple. Medusa called upon the goddess Athena for revenge, but, instead, Athena punished Medusa for defiling her temple, subjecting her to a terrible transformation. Her beautiful hair became poisonous serpents; her face so horrifying to behold it turned onlookers to stone. Some stories portray Medusa as asking for it or depict her as being uppity. Medusa, therefore, stands as a strong metaphor for the experiences of women who have survived sexual violence. This critical autoethnography presents my experience, along with 11 other women, finding community, voice, and courage with other survivors of sexual violence through community art, doll-making, and collectively reclaiming our sister, Medusa.
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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 | 0.006 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.021 | 0.030 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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".