The relationship between childhood abuse and suicidal behaviours in a treatment-seeking sample of Canadian military, police, and Veterans
Bibliographic record
Abstract
LAY SUMMARY Suicide and related behaviours (e.g., attempting suicide, planning suicide, and purposely harming oneself) can negatively impact individuals, families, and communities. Canadian military and police are generally more likely to engage in suicide-related behaviours than the general population. This study looked at how often suicide-related behaviours occur and whether experiences of childhood abuse increase the likelihood of such behaviours among actively serving and Veteran Canadian military and police personnel who are seeking mental health treatment. Data were drawn from the medical charts of 412 individuals at a clinic that specializes in serving members and Veterans of the Canadian military and police services with mental health needs. Approximately 41% of the sample had engaged in one or more suicide-related behaviour. By type of behaviour, 37% had thought about suicide, 11% had attempted suicide, 7% had a suicide plan, and 5% engaged in self-harm behaviours. Those with a history of childhood abuse and those who identified as Veterans were more likely to have attempted suicide. These findings may help inform efforts to reduce suicide and related behaviours in this unique group.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".