Beyond dichotomies of health and illness: life after breast cancer
Bibliographic record
Abstract
While there has been a vast amount of research on breast cancer in recent years, areas within this domain remain unexplored. For instance, there have been few attempts to marry an understanding of the social context in which breast cancer occurs with an understanding of subjective experiences of this condition. The purpose of this study was to explore women's experiences of embodiment after breast cancer, utilizing a phenomenological approach rooted in a feminist perspective. The focus of this article is upon the changes to embodiment that are long-term. Twelve women were interviewed on two occasions each and were asked to talk about changes to their bodies that occurred as a result of breast cancer. Three key themes were identified: (1) how it feels (e.g. sensation and breast loss); (2) managing appearances (e.g. wearing prostheses); and (3) treatments without end (e.g. menopause). The findings of this study show that women with breast cancer are a diverse group and that survivorship is a dynamic, life-long process, which suggests that health professionals can play an important role in establishing interdisciplinary approaches to caring, beyond the conclusion of acute treatment.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.024 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".