Impact of COVID-19 on Women Who Are Refugees and Mothering: A Critical Ethnographic Study
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
Refugee women often experience trauma and social disconnection in a new country and are at risk of experiencing reduced physical, mental, and emotional well-being. Globally, COVID-19 has affected the health and well-being of the population at large. This critical ethnographic study aimed to explore the effects of COVID-19 on women who are refugees and mothering in Saskatchewan, Canada. In-depth interviews were undertaken with 27 women who are refugees and mothering young children aged 2 years and under. This study suggests that during COVID-19, refugee women are at high risk of experiencing add-on stressors due to isolation, difficulty in accessing health care, COVID-19-related restrictions in hospitals, limited follow-up care, limited social support, financial difficulties, and compromised nutrition. During COVID-19, collaborative efforts by nurses, other health-care professionals, and governmental and non-governmental organizations are essential to provide need-based mental health support, skills-building programs, nutritional counseling, and follow-up care to this vulnerable group.
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 | 0.006 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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