<i>The Meaning of Food</i> to Breast Cancer Survivors
Bibliographic record
Abstract
Although a definitive relationship between diet and breast cancer remains controversial, many women adopt dietary change after diagnosis. To understand factors motivating dietary change, we explored the meanings that breast cancer survivors attached to food during recovery. Six women who were breast cancer survivors for six to 19 years participated in semi-structured interviews exploring personal meanings attached to food, dietary changes after diagnosis, factors influencing dietary change, and experiences with food in relation to breast cancer. Two distinct phases emerged. These corresponded to active treatment, when women used food to gain control, to cope, for comfort, and for hope, and to post-treatment, when the meanings that women attached to food were shaped by the perception of food's role in breast cancer causation. Women who believed that diet prevents a first diagnosis adopted change to prevent recurrence, while those who did not believe in the relationship between diet and breast cancer adopted change to improve health. In women with breast cancer, food can be an important coping mechanism. Women may benefit from counselling grounded in the meanings they attach to food over the recovery continuum.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.011 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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 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".