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Record W2059693359 · doi:10.1017/s1478951508000060

Bereaved parents' perspectives on their needs

2008· article· en· W2059693359 on OpenAlexaff
Norma Mammone D’Agostino, D Berlin-Romalis, Vesna Jovcevska, Maru Barrera

Bibliographic record

VenuePalliative & Supportive Care · 2008
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

OBJECTIVE: The loss of a child can be traumatic for parents, given the profound bond established with the deceased child. Parental bereavement and the need for bereavement services are not well understood. This study examined parental perspectives regarding bereavement services from a pediatric oncology treating center. METHODS: A 2-h focus group of seven parents, audiotaped and transcribed verbatim, was conducted by two facilitators using open-ended questions to generate discussion regarding their views of what services were or would be helpful during early bereavement. RESULTS: Parents perceived flexible and continuous bereavement services from the treating hospital as a necessary transition to community services. Talking to other parents with similar experiences and maintaining contact with staff at the treating hospital were considered critical in their healing after the loss. SIGNIFICANCE OF RESULTS: Transitional multimodality bereavement services offered by the treating hospital will improve the quality of life of bereaved families.

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)0.010
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 score0.003
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.056
GPT teacher head0.356
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

Citations99
Published2008
Admission routes1
Has abstractyes

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