Breast Cancer Messaging for Younger Women: Gender, Femininity, and Risk
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Evidence linking both active smoking and secondhand smoke exposure to premenopausal breast cancer makes the development of health messages specific to younger women a pressing priority. To determine how to communicate information about this modifiable breast cancer risk to young women, we analyzed a selection of 32 recent English-language breast cancer messages and campaigns that targeted young women. In addition, we obtained young women's responses to three breast cancer campaign images during focus group discussions. A visual analysis of messages points to an explicitly gendered discourse within contemporary campaigns, one that entails conflicting messages regarding breast cancer, health, feminine beauty, and risk. Although the intent might be to educate and empower young women to "fight" against breast cancer, paradoxically, the messages employ imagery that sexually objectifies young women's breasts and bodies. Recommendations are made for messaging about tobacco and breast cancer risk to avoid reproducing one-dimensional or stereotypical presentations of gender and femininity.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.025 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it