Exploring the use of Hotels as Alternative Housing by Domestic Violence Shelters During COVID-19
Bibliographic record
Abstract
Domestic violence shelters present a unique context within the congregate living sector in the context of the COVID-19 pandemic. Shelters supporting women during the pandemic had to change service delivery models to include housing women in hotels to adhere to government restrictions and ensure women, and their children, were not homeless. The purpose of this study was to explore the impact of hotel use as alternative housing for women experiencing domestic violence during the COVID-19 pandemic in Ontario, Canada. We used interpretive description methodology, including in-depth interviews with 8 women using shelter services, 26 shelter workers and 5 focus groups with 24 executive directors of women’s shelters and other organizations who serve women who have experienced domestic violence. We identified and explored three main tensions in housing women at hotels compared to shelters: 1) autonomy/independence versus support, 2) a better option, the only option, and/or a safety concern, and 3) adequacy of hotels as housing. Drawbacks and benefits of the use of hotels as housing for women in the context of domestic violence are explored and recommendations are highlighted.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".