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Record W2773157423 · doi:10.1177/1054137317742560

Exploring Aspects of Health and Well-Being in Siblings of Young Homicide Victims

2017· article· en· W2773157423 on OpenAlexaff
Susan L. Tasker, Kenneth E. Wright

Bibliographic record

VenueIllness Crisis & Loss · 2017
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsIsland HealthUniversity of Victoria
Fundersnot available
KeywordsHomicidePsychologyFeelingSiblingDistressLife satisfactionSuicide preventionInjury preventionPoison controlMedicineDevelopmental psychologyClinical psychologySocial psychologyMedical emergency

Abstract

fetched live from OpenAlex

Anecdotal report and a scant literature suggest homicide has lasting effects on the health and well-being of siblings of homicide victims. However, sample and other methodological problems make it difficult to claim these effects. It also makes it difficult to attribute these effects to a sibling’s homicide versus other distressing life events. We compared 67 siblings of homicide victims with 80 comparison siblings on aspects of general health and well-being. Similar occupation types and levels of income, education, general health perception, and self-worth were found. The Homicide Group reported significantly higher levels of subjective distress and school/work absences in the past 3 months due to feeling unwell, and significantly less social support and life satisfaction. This study contributes to the literature by adding a larger sample on the issue of siblings of homicide victims and including a Comparison Group. Findings advance understanding of homicide’s effects on siblings of homicide victims.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.219
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.055
GPT teacher head0.345
Teacher spread0.290 · 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

Citations1
Published2017
Admission routes1
Has abstractyes

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