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Record W2088685017 · doi:10.1080/07481187.2014.991954

Always With Me: Understanding Experiences of Bereaved Children Whose Baby Sibling Died

2014· article· en· W2088685017 on OpenAlexaffabout
Christine Jonas‐Simpson, Rose Steele, Leeat Granek, Betty Davies, Joann O’Leary

Bibliographic record

VenueDeath Studies · 2014
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsUniversity of VictoriaYork University
Fundersnot available
KeywordsSiblingGriefDevelopmental psychologyVulnerability (computing)PsychologyContext (archaeology)Sibling relationshipPsychological resilienceQualitative researchSocial psychologyPsychotherapistSociologyHistory

Abstract

fetched live from OpenAlex

An arts-based qualitative method was used to explore the experiences of children's bereavement after a baby sibling's death, in the context of their family and school life. Data were collected during in-depth interviews with 9 bereaved children and 5 parents from 4 Canadian families and analyzed. A central process, evolving sibling relationship over the years, and a pattern of vulnerability/resilience, ran through all four themes, which reflected ideas of connection, impact of parental grief, disenfranchisement and growth. Findings indicated that home and school are critical to children in creating safe spaces for expressing the evolving nature of infant sibling bereavement.

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)0.011
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 score0.113
Threshold uncertainty score0.224

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0120.013
Scholarly communication0.0040.004
Open science0.0020.006
Research integrity0.0020.004
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 head0.110
GPT teacher head0.374
Teacher spread0.264 · 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

Citations29
Published2014
Admission routes2
Has abstractyes

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