A Design Analysis of Bras and Prostheses for Breast Cancer Survivors
Bibliographic record
Abstract
A breast cancer diagnosis may involve surgery, chemotherapy, radiation and hormone treatment. Our study used a qualitative approach to identify key design criteria to better inform product development. Precedent analysis of bras and prostheses (n=31), and interviews with breast cancer survivors (n=2), mastectomy fitters (n=2) and an anaplastologist (n=1) provided information on bra style variety, design features, material composition, closure type, functional aspects, cup coverage and shape, straps, closure mechanisms and overall fit as well as material, volume, shape, aesthetic appeal, nipple design, attachment mechanisms, and customization options. Recommendations include the pursuit of material innovation for enhanced comfort, offering a variety of bra styles and closure options for both functionality and aesthetic appeal, and ensuring consistent sizing for a more accurate fit. For prostheses, recommendations include adjustable volume, a spectrum of shapes, skin tones and nipples to better match individual physiques, as well as the use of temperature-regulating materials.
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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 | 0.012 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".