Addressing the Safety and Trauma Issues of Abused Women: A Cross-Canada Study of YWCA Shelters
Bibliographic record
Abstract
Shelters for women are often seen as the major resource for intimate partner violence, yet few evaluations have been published. This study describes the needs, trauma symptoms and safety issues of 368 women as they enter and leave emergency shelters in ten Canadian violence against women emergency shelters; nine operated by the YWCA and a private shelter in Nova Scotia. The results capture the nature of the abuse, what the women wanted from shelter residence, the services they received, and their plans for afterwards. On shelter entry, on the Danger Assessment over 75% of women residents fell in the range of Extreme or Severe Danger. Although still in the clinical range, total and subscales on the Impact of Event Scale-Revised significantly reduced from shelter entry to exit. The women strongly endorsed the shelter in assisting them with safety, support and access to essential basic needs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".