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Record W2089048761 · doi:10.1177/1043454209340322

Bereaved Parents’ and Siblings’ Reports of Legacies Created by Children With Cancer

2009· article· en· W2089048761 on OpenAlexaff
Terrah L. Foster, Mary Jo Gilmer, Betty Davies, Maru Barrera, Diane L. Fairclough, Kathryn Vannatta, Cynthia A. Gerhardt

Bibliographic record

VenueJournal of Pediatric Oncology Nursing · 2009
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsUniversity of Toronto
FundersNational Cancer Institute
KeywordsAfterlifePsychologyQualitative researchChildhood cancerDevelopmental psychologyMedicineCancerSociology

Abstract

fetched live from OpenAlex

This qualitative study explored bereaved parents' and siblings' reports of legacies created by children with advanced cancer. Participants included 40 families of children who died from cancer, with 36 mothers, 27 fathers, and 40 siblings (ages 8-18 years). Individual interviews were completed at home approximately 10.68 months (SD = 3.48) after the child's death. Content analysis of interviews indicated that many children living with cancer did specific things to be remembered, such as making crafts for others, willing away belongings, writing letters to loved ones, and giving special gifts. Some children, particularly those who were very ill or died unexpectedly, did not intentionally do or say anything to be remembered. Legacies included bereaved individuals remembering children's qualities, concern for family, and beliefs about afterlife. Having advanced cancer appeared to motivate children to influence others' lives and prepare for their own deaths. Children's advice about how to live life inspired bereaved family members. Findings contribute to the current knowledge of legacy-making in children and offer implications for practice and future research.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.017
Threshold uncertainty score0.347

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.052
GPT teacher head0.417
Teacher spread0.364 · 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 teacher head, 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

Citations90
Published2009
Admission routes1
Has abstractyes

Explore more

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