Coming to Terms: Korean Mothers’ Adaptation to Child Loss from Cancer
Bibliographic record
Abstract
Bereaved mothers with a deep bond to their sick child experience a distinct grieving process. This study delved into how Korean bereaved mothers come to terms with their child’s death from cancer by exploring their bereavement and adaptation processes. In‐depth interviews with 15 bereaved mothers yielded 14 subthemes within three overarching themes. These themes included the diverse coping mechanisms employed by the participants, attribution of meaning to their children’s deaths, and personal growth intertwined with their experiences. These findings underscore the critical need for professional support to assist these mothers in their search for meaning and coping with the loss, particularly in the context of the unique cultural context of Korea. Understanding cultural variations is crucial for expanding the knowledge base in this field and advancing culturally informed interventions to support mothers who grapple with the loss of a child due to cancer across varied cultural 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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| 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".