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Record W2079351950 · doi:10.2190/ua8f-q4qk-am1q-hahj

Grieving, Mourning, and Healing Following Youth Suicide: A Focus on Health and Well Being in Families

2004· article· en· W2079351950 on OpenAlexaff
Ruth Grant Kalischuk, Virginia E. Hayes

Bibliographic record

VenueOMEGA - Journal of Death and Dying · 2004
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsUniversity of VictoriaUniversity of Lethbridge
Fundersnot available
KeywordsContext (archaeology)Grounded theoryPsychologyTheme (computing)PsychotherapistGriefDevelopmental psychologyQualitative researchSociologyHistorySocial science

Abstract

fetched live from OpenAlex

Within the context of their grieving families, this grounded theory study explored survivors' experiences of healing following youth suicide. The major theme developed in this study, Journeying Toward Wholeness, is conceptualized as a process involving the inter-relationships among three sub-themes: Grieving in Response to Youth Suicide, Mourning in Response to Youth Suicide, and Healing in Response to Youth Suicide. Initially, grieving, mourning, and healing occur within individual and family realms. Theoretically congruent with systems theory, this mid-range grounded theory suggests that grieving, mourning, and healing are embedded within a broader social context. This theory purports that grieving, mourning, and healing are related, dynamic, and seamless processes influencing each person's journey toward wholeness following youth suicide. This theory supplements the basis of holistic practice, directs us to accept a broad range of survivors' expressions of movement towards wholeness and health, stresses the importance of working with survivors' stories, and encourages us in relational practice.

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)0.003
metaresearch head score (Gemma)0.005
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 score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.006
Scholarly communication0.0020.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.035
GPT teacher head0.336
Teacher spread0.300 · 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

Citations19
Published2004
Admission routes1
Has abstractyes

Explore more

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