Engaging Men Across the Violence Prevention Continuum
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
Men have a role to play in the prevention of violence against women; however, there is increasing awareness that the social service sector has failed to adequately engage men in violence prevention programming and advocacy. This study used semi-structured interviews to explore the challenges that a sample of Canadian violence prevention practitioners and organizations face in engaging men in preventing violence and generating practice recommendations for what is needed to better equip practitioners. At an organizational level, findings indicate that more capacity-building around emerging research, strategies, and tools in working with and engaging men in the prevention of violence is required. Challenges around recruiting male staff, in what is primarily considered a female-dominated profession, were also noted. Practitioners also discussed the role of masculine gender norms as barriers to men’s help-seeking and engagement in violence prevention advocacy. Recommendations include expanding social work curriculum and training to include information and resources on working with men, as well as increased research on best and promising practices to support organizations and practitioners in their engagement efforts.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 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) | 0.000 | 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