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Record W1523357191 · doi:10.1520/jfs15066j

Child and Adolescent Suicide in a Large, Urban Area: Psychological, Demographic, and Situational Factors

2001· article· en· W1523357191 on OpenAlexaffabout
LE Weinberger, Siddhika S. Sreenivasan, L Sathyavagiswaran, E Markowitz

Bibliographic record

VenueJournal of Forensic Sciences · 2001
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsOffice of the Chief Medical Examiner
Fundersnot available
KeywordsSuicide preventionInjury preventionQuarter (Canadian coin)Poison controlMedicineOccupational safety and healthSituational ethicsIntervention (counseling)Human factors and ergonomicsDemographyMedical examinerPsychiatryMental healthPsychologyMedical emergencySocial psychology

Abstract

fetched live from OpenAlex

We examined all completed suicides by children and adolescents in Los Angeles County who died during 1996 and 1997. There were 46 subjects, aged 11 through 16. The majority of the decedents were males and over age 14. The predominant racial group was Hispanic. There was an almost even split between firearms and hanging as the means of death. Females had a statistically significantly higher rate of prior suicide attempts than males. Over one-third left a suicide note, almost one-half were noted to be depressed, and 22% tested positive for alcohol or illicit drugs. Less than one-quarter were in mental health treatment. Eighty-seven percent had difficulty transitioning to or during adolescence; e.g., problems at home, legal and school difficulties, and relationship losses. These findings are discussed in terms of Eriksonian developmental theory. We offer recommendations for intervention and prevention of suicide.

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 score0.010
Threshold uncertainty score0.314

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 studies0.0000.001
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 head0.342
Teacher spread0.282 · 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

Citations33
Published2001
Admission routes2
Has abstractyes

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