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Record W1967310054 · doi:10.1080/07481180590906192

DEATH ANXIETY AND PERSONAL GROWTH IN ADOLESCENTS EXPERIENCING THE DEATH OF A GRANDPARENT

2005· article· en· W1967310054 on OpenAlexaff
Carla Ens, John Bond

Bibliographic record

VenueDeath Studies · 2005
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsGrandparentDeath anxietyGriefPsychologyAnxietyClinical psychologyDevelopmental psychologyPsychiatry

Abstract

fetched live from OpenAlex

Relationships between bereavement following the death of a grandparent and adolescent death anxiety levels were examined using Hogan's Inventory of Bereavement and the revised Death Anxiety Scale within private schools. Of the 226 adolescent respondents (aged 11-18) who completed questionnaires, 124 had experienced the death of a grandparent. The regression model indicated that grief due to bereavement was found to be significantly associated with death anxiety. The factors of personal growth, gender, time since death, and numbers of deaths experienced were not found to be significant predictors within the model. The findings encourage further exploration into the nature of the grandparent-adolescent relationship as well as the impact of type of death experienced.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.067
GPT teacher head0.369
Teacher spread0.303 · 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 designObservational
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

Citations45
Published2005
Admission routes1
Has abstractyes

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