The Importance of Culture in Addressing Domestic Violence for First Nation's Women
Bibliographic record
Abstract
Indigenous women in Canada face a range of health and social issues including domestic violence. Indigenous women (First Nations, Inuit and Métis) are six times more likely to be killed than non-Aboriginal women (Homicide in Canada, 2014; Miladinovic and Mulligan, 2015). Aboriginal women are 2.5 times more likely to be victims of violence than non-Aboriginal women (Robertson, 2010). These and other statistics highlight a significant difference in the level of violence experienced by Indigenous women to that experienced by women in the mainstream population in Canada. The historical impacts of colonization and forced assimilation are viewed as the main social determinant of health for aboriginal people in Canada, as they led to intergenerational trauma, with communities struggling today against discrimination, stigma, poverty and social exclusion. Most disturbing and damaging are the outcomes of domestic violence, mental health and addiction issues (Prussing, 2014). First Nation's women who want to leave a violent situation have limited access to helping services, as most are located in large cities and towns, far from remote reserves where many of the women live. Services were originally designed by and for the mainstream population. First Nation's women who manage to access these programs often find staff with limited cultural competence and program supports that have little cultural safety or relevance for them. Indigenous culture is defined in various levels of legislation as having a set of specific rights based on their historical ties to a particular region, with cultural or historical distinctiveness from the mainstream and other populations (Indigenous Peoples at the UN, 2014). In Canada, indigenous cultural beliefs are closely tied to belief in a creator, ancestors and the natural world, influencing their spirituality and their political perspectives (Waldram et al., 2006). Cultural safety, a concept that emerged in the 1980's in New Zealand, is viewed as an environment that is spiritually, socially, emotionally and physically safe for people; where cultural identity is recognized and valued through shared respect, meaning, knowledge and the experience of learning together. This paper will explore current evidence-based literature to determine if there is empirical evidence to support program policies and practices that reflect culturally safe, competent and relevant domestic violence services to address the cultural needs of Indigenous women in Canada.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.023 | 0.009 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".