Post-Death Encounters: Grieving, Mourning, and Healing
Bibliographic record
Abstract
Historical accounts and previous research have shown that bereaved individuals often report seeing, hearing, or feeling the presence of the deceased. We examined such encounters in the context of the grieving, mourning, and healing processes. Semi-structured, in-depth interviews were conducted with 23 individuals who reported a post-death encounter following the death of a loved one. Phenomenological analysis showed that participants went through an interpretive process in which they attempted to make sense of their experiences. The encounters profoundly affected the participants' beliefs in an afterlife and attitudes toward life and death, and had a significant impact on their grief. Finally, post-death encounters had a healing effect on the participants by contributing to a sense of connectedness with the deceased. We conclude that health care professionals and counselors should be educated about post-death encounters so that the bereaved can share their experiences in a supportive and understanding atmosphere.
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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) | 0.000 | 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".