Establishing an effective sexual assault service in rural Manitoba : lessons from the past, ideas for the future
Bibliographic record
Abstract
Sexual violence is a serious global issue primarily affecting women and children from all social, religious, economic and cultural backgrounds. In addition to the social, emotional, physical, and spiritual impact on victims, there are devastating consequences for those surrounding the victim including children, partners, extended family, friends, and the community as a whole. Being a "victim" of sexual assault carries fierce shame, and social stigma, which further discourages survivors from seeking help and support. Consequently, they continue to live with the trauma in fear and in isolation. This study conducted interviews with key stakeholders in rural and urban communities in the province of Manitoba. The experiences of representatives from First Nation communities and from the medical, legal and social services systems were examined to garner their perceptions of what constitutes an effective and immediate response the devastating social issue of sexual assault. Participants described the existing policies, procedures, and services for sexual assault survivors in rural Manitoba, and shared their perceptions of the limitations of these services. Respondents also provided information on the planning and implementation of service delivery and shared recommendations for future development based on their personal and professional experiences organizing within their own communities. Implications for developing an effective community response to sexual assault includes: building community capacity through empowerment, community organizing, education and training. Grass roots consciousness raising, respectful communication, including a diverse community membership in various aspects of the planning, and consultation and collaboration were identified as essential steps in order to break the silence and provide hope and healing to individuals, families, and communities.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| 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".