The Meaning of Breast Cancer
Bibliographic record
Abstract
Breast cancer patients' perception of illness could influence preferences in decision-making. According to Lipowsky, the meaning of illness might influence coping abilities and he suggests eight categories of meaning as prevalent in our culture: 'challenge', 'enemy', 'punishment', 'weakness', 'irreparable loss', 'relief', 'strategy' and 'value'. In this study 187 Swedish breast cancer patients chose one of these eight categories as their meaning of breast cancer. 'Challenge' was chosen most often, by 33% of all patients and by 40% of patients in middle life (51-65 years). Older patients (> or = 66 years) chose 'challenge' less frequently (17%) but chose 'relief', 'strategy' or 'value' more often than younger patients. The few patients with metastatic disease chose 'enemy', 'punishment', 'weakness' and 'irreparable loss' more often than patients in the earlier stages of disease. There were differences in perception of illness depending on patients' age and stage of disease but not depending on their preferences in decision-making.
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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 | 0.002 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".