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Record W4414173197 · doi:10.22215/apb.v2i3.5514

Suicidal Thoughts and Behaviours Among Royal Canadian Mounted Police

2025· article· en· W4414173197 on OpenAlexaboutno aff
Jolan Nisbet, Katie L. Andrews, Laleh Jamshidi, Robyn E. Shields, Tracie O. Afifi, R. Nicholas Carleton

Bibliographic record

VenueApplied police briefings : · 2025
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMental healthSuicide preventionOccupational safety and healthPublic healthPoison controlHuman factors and ergonomics

Abstract

fetched live from OpenAlex

Suicidal thoughts and behaviours are complex and arise from multiple factors. Public safety personnel (PSP), such as Royal Canadian Mounted Police (RCMP), are exposed to frequent and diverse potentially traumatic psychological events, increasing their risk of developing mental health disorders, which puts them at a greater risk of experiencing suicidal thoughts and behaviours. The data from the source article indicates that RCMP report elevated prevalence rates of suicidal ideation, planning, and attempts. There were many statistically significant associations reported between lifetime and past-year suicidal ideation, suicidal behaviours, and mental health disorder symptoms.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.685
Threshold uncertainty score1.000

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 head0.012
GPT teacher head0.286
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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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