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Record W4367180691 · doi:10.1177/00938548231165531

Violence and Suicidal/Nonsuicidal Self-Injury Among Adolescents Undergoing Residential Treatment: An Examination of the Predictive Validity of the SAVRY, START:AV, and VRS-YV

2023· article· en· W4367180691 on OpenAlexafffund
Andrew L. Gray, Jodi L. Viljoen

Bibliographic record

VenueCriminal Justice and Behavior · 2023
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsSimon Fraser UniversityUniversité de Montréal
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPoison controlPredictive validityInjury preventionSuicide preventionOccupational safety and healthHuman factors and ergonomicsPsychologyClinical psychologyPsychiatryMedicineMedical emergency

Abstract

fetched live from OpenAlex

Using a retrospective study design, predictive validity of the Structured Assessment of Violence Risk in Youth, Short-Term Assessment of Risk and Treatability: Adolescent Version (START: AV), and the Violence Risk Scale-Youth Version (VRS-YV) was examined among 87 adolescents referred to a residential treatment program. With few exceptions, moderate to high accuracy was achieved for the three measures in predicting violence and suicidal/nonsuicidal self-injury occurring during the adolescents' time in treatment. Accuracy of the measures peaked within 90 days for violence and gradually increased over the 180-day follow-up for suicidal/nonsuicidal self-injury. Dynamic factors were more predictive of repeated events involving violence relative to static/historical factors, whereas only factors from the START: AV were predictive of repeated events involving suicidal/nonsuicidal self-injury. These results emphasize the need for further examining the risk of adverse outcomes beyond violence among adolescents.

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 score0.011
Threshold uncertainty score0.536

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.060
GPT teacher head0.334
Teacher spread0.275 · 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

Citations3
Published2023
Admission routes2
Has abstractyes

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