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Record W4403140459 · doi:10.1017/s0954579424001160

How do adolescents consider life and death? A cognition-to-action framework for suicide prevention

2024· review· en· W4403140459 on OpenAlexfundno aff
Adam Benzekri, Pamela Morris‐Perez

Bibliographic record

VenueDevelopment and Psychopathology · 2024
Typereview
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsnot available
FundersYork UniversityArcadia Fund
KeywordsSuicidal ideationPsychologySuicide preventionCognitionSuicidologyPoison controlInjury preventionClinical psychologyHuman factors and ergonomicsAction (physics)PsychiatryDevelopmental psychologyMedicineMedical emergency

Abstract

fetched live from OpenAlex

Rising rates of suicide fatality, attempts, and ideations among adolescents aged 10-19 over the past two decades represent a national public health priority. Theories that seek to understand suicidal ideation overwhelmingly focus on the transition from ideation to attempt and on a sole cognition: active suicidal ideation - the serious consideration of killing one's self, with less attention to non-suicidal cognitions that emerge during adolescence that may have implications for suicidal behavior. A large body of research exists that characterizes adolescence not only as a period of heightened onset and prevalence of active suicidal ideation and the desire to no longer be alive (i.e., passive suicidal ideation), but also for non-suicidal cognitions about life and death. Our review synthesizes extant literature in the content, timing and mental imagery of thoughts adolescents have about their (1) life; and (2) mortality that may co-occur with active and passive suicidal ideation that have received limited attention in adolescent suicidology. Our "cognition-to-action framework for adolescent suicide prevention" builds on existing ideation-to-action theories to identify life and non-suicidal mortality cognitions during adolescence that represent potential leverage points for the prevention of attempted suicide and premature death during this period and across the life span.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.977
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.189
GPT teacher head0.439
Teacher spread0.250 · 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 designNot applicable
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

Citations4
Published2024
Admission routes1
Has abstractyes

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