Survivor Tales: Feminist Graphics Bridging Consciousness Raising into Reality
Bibliographic record
Abstract
This article examines two feminist comic representations of violence against women founded in the lived experiences of artists Sabrina Jones, and Rebecca Migdal, editors with the annual graphic anthology World War 3 Illustrated. In these visual narratives, the reader is introduced to the impact violence, visible and invisible, has on these women’s lives as they recollect events, and move on from their painful experiences. Far from offering a commiseration of pain, a function which Susan Sonntag attributes to disaster and war photography in Regarding the pain of others, these graphics (or comics) project empathy, while also empowering readers by providing a sense of ‘what’s next?’ Also embedded in this analysis is an examination of the cultural roots of misogyny, through which violence against women and gendered ‘others’ is operationalised. Through their multimodal visual and narrative retelling of the harmful impact violence and the threat of violence had on their lives, Jones’ and Migdal’s graphics offer resolution and an opportunity for consciousness raising about the issues facing survivors of male violence. Their resistance gives voice to the experience of threats and abuse, and shares wisdom throughout it all.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.016 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.018 | 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".