A journey through unexpected sibling bereavement: an adolescent's grief and struggle to find meaning in adulthood
Bibliographic record
Abstract
Although extensive research relating to adolescent bereavement exists, studies relating specifically to adolescent sibling bereavement are limited in scope and rarely provide a longitudinal perspective. This study implements autoethnography to reveal a retrospective of the author's personal experience with grief after the unexpected death of her only sister during adolescence. The case study provides a longitudinal perspective of adolescent sibling bereavement as the author examines her grief from the moment that she found out her sister was killed, through to the present day, 22 years later. The author reveals many short-term and long-term effects of grief while examining her own experiences from both adolescent and adult perspectives. Also provided is an introduction to other literature on the topic. The study will present families, teachers, counselors, and other community members, with a more in-depth look at adolescent sibling bereavement, its long-term impacts, and suggestions for supporting an adolescent experiencing grief after the death of a sibling.--P.ii.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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".