‘We have tried to remain warm despite the rules.’ Domestic violence and COVID-19: implications for shelters’ policies and practices
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article presents findings from a study that investigated the impacts of the COVID-19 pandemic on domestic violence shelters’ policies and practices. This study was conducted in partnership with feminist organisations in two regions in the Quebec, Canada. Qualitative data were collected from nine domestic violence shelters, using a web-based questionnaire. Thematic content analysis was conducted using NVivo. The research findings reveal that the COVID-19 pandemic has created significant challenges for shelters, as they have had to ensure women’s and children’s safety while preventing the spread of the virus. In this context, they have had to adapt their services and practices, and it has sometimes been difficult to maintain their feminist approach. Nonetheless, shelters have been creative and have developed multiple strategies to overcome these challenges and to ensure women’s and children’s access to services. The research findings contribute to our understanding of the impacts of the COVID-19 pandemic, and highlight the essential role that these organisations have played to ensure women’s and children’s safety at a time when they have been particularly vulnerable.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| 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 it