Training Mental Health and Social Services Professionals for Gender-Sensitive Work with Men: Results of a Promising Continuing Education Initiative
Bibliographic record
Abstract
Objectives: To report on the impact of a training program for mental health and social service professionals designed to foster gender-sensitive work with at-risk and underserved men. Methods: A mixed-method study consisting of qualitative and quantitative components was conducted. A phenomenological thematic method was employed in the qualitative component to identify changes in the participants’ perceptions about men. The quantitative component consisted of an analysis of the impact of the training on the participants’ knowledge, skills, and self-awareness regarding the process of working with men. Results: Qualitative findings revealed a positive shift in the participants’ attitudes about working with men. Quantitative findings indicated significant improvements in the participants’ knowledge ( p < .001), skills ( p < .001), and self-awareness ( p < .001) related to men and their issues. Conclusions: Continuing education about the socialization of men and their needs enhances practitioners’ understanding and empathy for men and efforts to help at-risk and underserved 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 | 0.011 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".