Experiences of wellbeing and resilience among refugee mothers and families in Calgary during the COVID-19 pandemic, and the role of participation in HIPPY, a home visiting program
Bibliographic record
Abstract
In order to provide meaningful and effective support to refugees in Canada during the COVID-19 pandemic, as well as during post-pandemic recovery efforts, it is critical to explore the experiences of refugee mothers and families during the pandemic, and to identify sources of resilience that can be leveraged to promote individual and household wellbeing. From November 2020 to June 2021, we conducted in-depth interviews with mothers from refugee backgrounds (n = 28) who resettled in Calgary, Alberta and are currently participating in the Multicultural Home Instruction for Parents of Preschool Youngsters (HIPPY) program. Interviews were conducted virtually using Microsoft Teams; we sought to better understand the pathways and barriers to wellbeing experienced by refugee mothers during the pandemic. The results indicate that the refugee mothers and families in our study experienced widespread disruptions to education and employment and increased motherhood burden, contributing to diminished wellbeing. Mental health was further impacted by heightened levels of worry, stress and social isolation, as well as intense fear pertaining to the spread of SARS-CoV-2. Some mothers reported experiencing barriers to accessing healthcare services and reliable health information during the pandemic. In the face of these challenges, the mothers demonstrated great resilience and identified tangible individual, household and extra-household factors and resources that supported them in coping with the impact of the COVID-19 pandemic. Additionally, our findings suggest that participation in HIPPY played a significant role in fostering the resilience of the participating mothers and families during the pandemic, speaking to the potential of home visiting intervention models in mitigating household hardship during current and future public health crises.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.010 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".