Fostering Growth in the Survivorship Experience: Investigating Breast Cancer Survivors’ Lived Experiences Scaling Mt. Kilimanjaro from a Posttraumatic Growth Perspective
Bibliographic record
Abstract
The aim of this study was to use an ethnographic case study approach to explore breast cancer survivors’ experiences scaling Mt. Kilimanjaro from a posttraumatic growth perspective. Three breast cancer survivors who participated in interviews and observations during a nine-day climb on the mountain were included in this study. Findings are presented first as three individual case studies and then offered as a cross-case analysis to emphasize themes that illustrated the women’s shared experiences of growing from adversity. Participation in the climb on Mt. Kilimanjaro provided an opportunity for the women to (a) nurture priorities, (b) foster self-belief, and (c) cultivate connections. Future research should conduct investigations into the role of physical activity as a facilitator of the posttraumatic growth process.
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".