A Web of Disheartenment With Hope on the Horizon: Intimate Partner Violence in Rural and Northern Communities
Bibliographic record
Abstract
Intimate partner violence (IPV) has become a worldwide epidemic, yet little is known about the experiences of women survivors living in rural and Northern Canadian communities. Existing statistics suggest that women living in rural areas of the Canadian Prairie Provinces and Northwest Territories (NWT) are at a significantly higher risk of experiencing IPV. To better understand the experiences of IPV in these regions, qualitative interviews were conducted with service providers, including the Royal Canadian Mounted Police (RCMP), Victims Services, Shelter Services, counselors, and others (e.g., physicians). In total, 122 participants were interviewed. These interviews were analyzed using a grounded theory approach where the data/results were transformed into a pictorial matrix that documents the struggles that service providers endure. The matrix/results highlight how social issues, such as isolation and poverty, contribute to social oppressions, such as lack of resources, transportation, and/or services. As service providers struggle against these forces, they begin to develop feelings of disheartenment. Yet, they continue to fight because there are opposing forces, such as Emergency Intervention Orders, police transportation, and Victim Services, that demonstrate how societal response is improving the lives and increasing safety in rural and Northern communities. Ultimately, the results suggest that to reduce the incidences of IPV, we must go beyond the violent acts and deal with the social contexts in which IPV resides.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.024 | 0.017 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".