Mothers' bereavement and evolving relationships with their dead child in South Korea
Bibliographic record
Abstract
Abstract Objective This study examined mothers' continuing relationships with their child lost to cancer in South Korea. Background Parents who lose a child to cancer experience a deep level of grief and a continuous, seemingly never‐ending grieving process. Method Fifteen semistructured interviews were conducted with mothers who had lost a child to cancer. Participants were recruited from a support group for bereaved parents. Most participants were currently unemployed, and the elapsed time since the child's death ranged from 8 months to 13 years. Inductive thematic analysis was conducted to identify themes. Results We identified three overlapping themes––regret, longing, and connectedness––and eight subthemes. One major source of regret was focusing too much on pursuing a curative treatment to prevent their child's death and forgetting to show their love toward their dying child. Mothers identified longing for their child as an inexplicably intense and ever‐present loss that will only end with their death, when they will be reunited with their child. Mothers continued to live and communicate with their deceased child, imagining how their child would have grown up if they were still alive. Conclusion Mothers who lost a child to cancer used continuing bonds to maintain their parental identity and relationship with the child. Maintaining bonds with deceased children can take various forms and affect coping in the parents' bereavement process. Implications Health professionals should support continuing bonds that may help parents construct meaning while simultaneously promoting improved adaptation to the death of a child to cancer in the grieving process.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 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".