INVESTIGATING PERSONALITY MODERATORS OF DECREASED SUICIDE IDEATION IN MEANING-CENTERED MEN’S GROUP PARTICIPANTS
Bibliographic record
Abstract
Older men have the highest suicide rates worldwide, necessitating focused interventions (WHO, 2014). We have developed and are testing a 12-session community-based group intervention for men over 55 who are concerned, struggling, or worried about the transition to retirement. Meaning-Centered Men’s Groups (MCMG) draw on theory, research, and practice implicating existential considerations in contributing to or warding off thoughts of suicide (Heisel & Flett, 2016), and aim to build camaraderie through discussions about finding meaning in work, leisure, relationships, and generativity. We now present analyses investigating personality moderators of treatment outcomes in our trial of MCMG. Conscientiousness appears to significantly moderate the reduction in suicide ideation, and is negatively associated with Neuroticism and depression and positively associated with psychological well-being and life satisfaction. Findings will be discussed with reference to theory and research on personality, masculinity, and suicide prevention, and implications for mental health outreach to older men.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".