Coping with and Responding to Challenges:A Comparative Case StudyBetween Service Providers Supporting Those Experiencing Intimate Partner Violence
Bibliographic record
Abstract
This project examines the challenges faced by service providers supporting those experiencing Intimate Partner Violence (IPV) in their regional service centre and surrounding rural communities. Two case study sites, Brandon, MB and Sydney, NS, were selected to examine the experiences and perceptions of service providers using semi-structured interviews (N=15). The service providers in both studies identified two main themes, underfunding and understaffing, which create challenges to adequate service provision, especially in reaching rural areas. Strategic use of collaboration was identified as a means to deal with such challenges. The service providers used collaboration to create connections between the agencies and those who use them, stay visible in the community, provide more comprehensive services, and assess individual and community needs. Additionally, collaboration was identified as the future community-level strategy for providing intervention and preventive education and awareness, with the aim of changing community perceptions of IPV. This project identifies opportunities for future collaborative efforts while also raising questions about the sustainability of these collaborations, given the lack of resources available to sustain them.
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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 | 0.008 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.022 | 0.005 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".