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Effective Communication With Bereaved Child Survivors of Suicide

2006· review· en· W2026901314 on OpenAlexaff
Ann M. Mitchell, Susan Wesner, Lynn Brownson, Deborah Dysart Gale, Linda Garand, Allyson Havill

Bibliographic record

VenueJournal of Child and Adolescent Psychiatric Nursing · 2006
Typereview
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsConcordia University
FundersNational Institute of Mental Health
KeywordsPsychosocialDistressingMental healthPsychological interventionSuicide preventionPsychiatryPsychologyGriefPoison controlInjury preventionClinical psychologyPsychotherapistMedicineMedical emergency

Abstract

fetched live from OpenAlex

TOPIC: While bereavement is considered by many to be among the most stressful life events, it becomes even more distressing when it is related to the suicide of a loved one. Further, the death of a parent is traumatic for anyone, but it may be especially intensified for young children. This points to a strong need for the recognition and treatment of psychiatric and social problems associated with childhood bereavement. PURPOSE AND SOURCES: The purpose of this paper is to review the literature and present a synopsis of the psychosocial outcomes of childhood suicide survivor bereavement and outline communication issues that emerge when talking with young suicide survivors. CONCLUSIONS: A case is made to develop and test interventions designed to meet the mental health needs of this important group of individuals.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.976
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.019
GPT teacher head0.348
Teacher spread0.329 · 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.

Study designOther design
Domainnot available
GenreReview

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

Citations25
Published2006
Admission routes1
Has abstractyes

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