Taking action on violence through research, policy, and practice
Bibliographic record
Abstract
Background Violence is a critical public health problem associated with compromised health and social suffering that are preventable. The Centre for Global Health and Health Equity organized a forum in 2014 to identify: (1) priority issues related to violence affecting different population groups in Canada, and (2) strategies to take action on priority issues to reduce violence-related health inequities in Canada. In this paper, we present findings from the roundtable discussions held at the Forum, offer insights on the socio-political implications of these findings, and provide recommendations for action to reduce violence through research, policy and practice. Methods Over 60 academic researchers, health and social service agency staff, community advocates and graduate students attended the daylong Forum, which included presentations on structural violence, community violence, gender-based violence, and violence against marginalized groups. Detailed notes taken at the roundtables were analyzed by the first author using a thematic analysis technique. Findings The thematic analysis identified four thematic areas: 1) structural violence perpetuates interpersonal violence - the historical, social, political and economic marginalization that contributes to personal and community violence. 2) social norms of gender-based violence—the role of dominant social norms in perpetuating the practice of violence, especially towards women, children and older adults; 3) violence prevention and mitigation programs—the need for policy and programming to address violence at the individual/interpersonal, community, and societal levels; and 4) research gaps—the need for comprehensive research evidence made up of systematic reviews, community-based intervention and evaluation of implementation research to identify effective programming to address violence. Conclusions The proceedings from the Global Health and Health Equity Forum underscored the importance of recognizing violence as a public health issue that requires immediate and meaningful communal and structural investment to break its historic cycles. Based on our thematic analysis and literature review, four recommendations are offered: (1) Support and adopt policies to prevent or reduce structural violence; (2) Adopt multi-pronged strategies to transform dominant social norms associated with violence; (3) Establish standards and ensure adequate funding for violence prevention programs and services; and (4) Fund higher level ecological research on violence prevention and mitigation.
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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 | 0.346 | 0.257 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.018 | 0.079 |
| Scholarly communication | 0.044 | 0.031 |
| Open science | 0.009 | 0.031 |
| Research integrity | 0.017 | 0.019 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".