Production of Survival: Cancer Politics and Feminist Media Literacies
Bibliographic record
Abstract
In this paper, we argue that creative storytelling – by way of collaborative ethnographic songwriting and digital video production – can serve to complicate normative representations of breast cancer. We also argue that engaging in these artistic processes can be a practice of survival for people who do not see themselves in publicly available breast cancer narratives. At the center of our analysis is a song and music video, Breast Cancer Pink, which we composed and produced together about one author’s experience with young adult breast cancer. We make a case for media and feminist literacies, which we believe enabled the production of Breast Cancer Pink, for the author in question, who found herself on the margins of normative breast cancer narratives. We explore cultural dynamics around breast cancer, visual imaging, and creative practice and draw on Ahmed’s feminist notion of the feminist survival kit in order to understand typically invisible experiences of breast cancer.
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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 | 0.014 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.011 | 0.035 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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".