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Record W1968184009 · doi:10.2190/om.59.2.a

Post-Death Encounters: Grieving, Mourning, and Healing

2009· article· en· W1968184009 on OpenAlexaff
Nadine Nowatzki, Ruth Grant Kalischuk

Bibliographic record

VenueOMEGA - Journal of Death and Dying · 2009
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsUniversity of LethbridgeUniversity of Manitoba
Fundersnot available
KeywordsAfterlifeGriefFeelingSocial connectednessPsychologyInterpretative phenomenological analysisContext (archaeology)Health professionalsDisenfranchised griefThanatologyPsychotherapistSocial psychologyDevelopmental psychologyQualitative researchHealth careHistorySociology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.006
Scholarly communication0.0030.003
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.031
GPT teacher head0.339
Teacher spread0.307 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations50
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueOMEGA - Journal of Death and DyingSame topicGrief, Bereavement, and Mental HealthFrench-language works237,207