Externalizing depression symptoms among Canadian males with recent suicidal ideation: A focus on young men
Bibliographic record
Abstract
AIM: The primary aim was to quantify, relative to older men, young men's externalizing of depression symptoms and past-month suicidal ideation. METHODS: A non-probability national sample of 1000 Canadian men self-reported internalizing and externalizing symptoms of depression and past-month suicidal ideation. Stratification quotas reflected Canadian census data to age and region. RESULTS: Young men (18-25 years) were at markedly higher risk of past-month suicidal ideation than were older men. When controlling for internalizing depression, a multivariate age × recent suicidal ideation interaction indicated higher externalizing of depression symptoms in young men relative to older men, especially for those reporting recent suicidal ideation (P < .001). Interactions were observed for drug use, anger and aggression, and risk-taking domains. A sizable proportion of younger men were uniquely identified by the MDRS-22. CONCLUSIONS: Screening tools that include assessment of externalizing symptoms may assist in improving detection of distress and suicide risk in young men.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".