Enduring Cell Lines: Parents’ Experiences of Postmortem Tumor Banking in Childhood Cancer
Bibliographic record
Abstract
While cure rates in pediatric oncology have improved over the past 30 years, childhood cancer remains the second leading cause of death in children aged 1 to 14. Developing therapies often require using cancerous tissues, which may come from deceased donors. Tumor banks collect, store, and distribute these donated samples. While tumor banking is more common, factors that contribute to parents' decision and the impact of it on the family are not well understood. The purpose of this hermeneutic study was to understand the meaning and impact of tumor banking for parents of children who have died from cancer. Findings suggest that parents donating their child's tumors unexpectedly found a sense of meaning in their loss. They also found a legacy of their child's life; the living cells in some ways assisted the parents with grief. Aspects of this sensitive conversation and decision are discussed from the perspective of the parents' experiences.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".