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Record W4397003573 · doi:10.1097/fch.0000000000000408

Police Contact, Non-Suicidal Self-Injury, and Suicidal Ideation

2024· article· en· W4397003573 on OpenAlexaboutno aff
Dylan B. Jackson, Alexander Testa, Rebecca L. Fix, Daniel C. Semenza, Jason M. Nagata, Kyle T. Ganson

Bibliographic record

VenueFamily & Community Health · 2024
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSuicidal ideationOddsHarassmentOdds ratioMedicineSuicide preventionPoison controlPsychiatryInjury preventionOccupational safety and healthClinical psychologyLogistic regressionPsychologyDemographyMedical emergencyNursing

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVES: The purpose of this research is to investigate associations between police contact, non-suicidal self-injury (NSSI), and suicidal ideation (SI) among a national sample of Canadian adolescents and young adults (ages 16-30). METHODS: Data used in this study were obtained from the Canadian Study of Adolescent Health Behaviors (N = 940), a national survey of Canadians ages 16-30. RESULTS: Police contact was associated with higher odds of NSSI (OR = 1.98, 95% CI = 1.37, 2.86). Those who reported police contact with intrusion (OR = 2.39, 95% CI = 1.49, 3.38) and police contact with harassment (OR = 3.98, 95% CI = 2.30, 6.88) had higher odds of NSSI relative to respondents with no contact. Finally, any police contact was associated with higher odds of SI (OR = 1.56, 95% CI = 1.04, 2.34) and respondents experiencing police stops with harassment had higher odds of SI compared to those who had never been stopped (OR = 2.48, 95% CI = 1.45, 4.24). CONCLUSIONS: Distressing police contact heightens the risk of NSSI and SI among young people. Rigorous evaluation of trauma-informed, developmentally appropriate strategies for identifying and intervening on NSSI and SI following adverse police encounters should be prioritized.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.402
Threshold uncertainty score0.800

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.048
GPT teacher head0.380
Teacher spread0.332 · 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 source (direct Gemma or distilled Codex), 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

Citations6
Published2024
Admission routes1
Has abstractyes

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