“Our services are not the same”: the impact of the COVID-19 pandemic on care interactions in women’s shelters
Bibliographic record
Abstract
BACKGROUND: Guidelines and regulations in response to the COVID-19 pandemic have significantly impacted the health care sector. We explore these impacts in the gender-based violence (GBV) services sector and, more specifically, in the context of women's shelters. METHODS: Using an interpretive description and integrated knowledge mobilization approach, we interviewed 8 women's shelter clients, 26 staff, and conducted focus groups with 24 Executive Directors. RESULTS: We found that pandemic responses challenged longstanding values that guide work in women's shelters, specifically feminist and anti-oppressive practices. Physical distancing, masking, and closure of communal spaces intended to slow or stop the spread of the novel coronavirus created barriers to the provision of care, made it difficult to maintain or create positive connections with and among women and children, and re-traumatized some women and children. Despite these challenges, staff and leaders were creative in their attempts to provide quality care, though these efforts, including workarounds, were not without their own challenges. CONCLUSIONS: This research highlights the need to tailor crisis response to sector-specific realities that support service values and standards of care.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".