Men’s Preferences for Language and Communication in Mental Health Promotion: A Qualitative Study
Bibliographic record
Abstract
Tailored language and communication strategies underpin men's engagement with public health initiatives. The aim of this study was to explore men's preferences for language and communication in mental health promotion and provide recommendations for current and future programs. A sequential mixed-methods design was used including five focus groups and 21 individual interviews with 64 men. Interpretive description was used to inductively derive three themes: (1) Using coded language to confer mental health, which highlighted the tacit meaning and implications of language as well as men's covert strategies to communicate their challenges and emotions; (2) Summoning masculine capital with association and metaphors, wherein men's strategies for conveying mental health in acceptable and relatable ways are chronicled; and (3) Dynamism language to signal action and growth, illustrating participants' preference for strength-based approaches and gain-framed messaging that positions men as drivers of self-management and personal development. Important implications for men's mental health promotion are discussed.
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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 | 0.016 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".