Emerging From the “Ku:” Fluctuating in Adjusting With Breast Cancer—A Post-Traumatic Growth Theory Situated Within Chinese Culture
Bibliographic record
Abstract
This purpose of the study was to construct a model (theory) to understand Chinese women’s adjustment process in living with breast cancer. A constructivist grounded theory method was adopted in this study. A total of 24 women were recruited through purposive and theoretical sampling. Semi-structured, audio-recorded interviews were undertaken in Chinese and transcribed. Initial coding, focused coding, and theoretical coding approaches were used to identify subcategories and categories, and to construct the emergent theory. The basic social process these women used to deal with the breast cancer diagnosis was identified as: Emerging from the ‘ku’: Fluctuating in adjusting with breast cancer. Four categories were revealed following analysis: confronting challenges, orienting to reality, accommodating the illness, and transforming their lives, which encapsulated the main cognitive and emotional processes in which Chinese women engaged in their adjustment to living with their illness. The core process was influenced by a variety of contextual influences, which were identified as personal factors, social-environmental factors, and some specific cultural factors which emphasized positive changes. Chinese cultural values such as “Wuwei” coping strategies, familial primacy, and Chinese self-disclosure contribute to Chinese women’s adjustment processes and post-traumatic growth experiences. Hence, there is a need to consider Chinese cultural features, in designing culturally tailored supportive programs in multi-cultural clinical settings.
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How this classification was reachedexpand
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 | 0.021 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".