‘Connecting with Young Men’: The Impact of Training in Ireland.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
‘Connecting with Young Men’, Unit 6 in ENGAGE, Ireland’s National Men’s Health Training programme was developed to support service providers to engage young in mental health and related services. This study evaluated the impact of Unit 6 on front line service providers’ knowledge, skills, capacity, and practice pre and immediately post-training via questionnaire (n=206). At 1-month post-training interviews were conducted with youth workers (n=11), SPHE (social and emotional health curriculum) teachers (n=3), and sports personnel (n=3) (12-40 mins) to explore their experience of the training and its impact on practice. Overall, feedback regarding training satisfaction was largely positive (8.43±1.43/10). Participants selfreported level of knowledge (p=0.000), skills (p=0.000), capacity to engage (p<0.003) and identify priorities for young men (p<0.001), and success at convincing other service providers within (p<0.001) and beyond (p<0.000) their organization to prioritize engaging young men increased immediately post-training. Notably, 57.3% of service providers said that they would integrate the training into their work practice. Critical components of Unit 6 included (a) the focus on understanding gender as a dynamic construct, (b) the use of experiential and interactive sessions, and (c) the integration of ongoing reflective practice. The provision of more practical tips on ‘how’ to initiate and build relationships with young men as well as including young men’s voices would strengthen the training. Unit 6 has been effective in building capacity among service providers to engage young men. While assessing the longer-term impact of the training on practice is recommended, these findings have implications for those who wish to develop gender-sensitive services for young men elsewhere.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it