Accessing sexualized violence services and supports for women in rural Nova Scotia: A qualitative study
Bibliographic record
Abstract
Introduction: Women who experience sexualized violence can face significant barriers to accessing services and supports, including fear of victim blaming, stigma, and fear of re-traumatization. To date, there is a paucity of research that specifically examines the experiences of women accessing sexualized violence services and supports in rural places, and the potential unique or additional barriers they may face. Objectives: The purpose of this qualitative study was to understand the experiences of women living in rural [province] who accessed services or supports after experiencing sexualized violence. Methods: Participants were recruited through community organizations and social media. Interviews were conducted with nine women in Fall 2019. Data were analyzed using feminist-thematic analysis. Results: Findings indicate that the women shared experiences of navigating a fragmented system of services and supports, many reported harmful experiences with the justice system and formal healthcare system, and some also experienced positive experiences with community-based services. Enhancing community-based services is recommended as one key strategy for improving access to sexualized violence services and supports in rural 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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".