The Gigii-Bapiimin Study: resilience and the impacts of COVID-19 on health and wellbeing of Indigenous people living with HIV in Manitoba and Saskatchewan
Bibliographic record
Abstract
The Gigii-Bapiimin study explored the impacts of the COVID-19 pandemic on the health and wellbeing of First Nations, Inuit, and Métis people living with HIV in Manitoba and Saskatchewan, two provinces in Canada with alarmingly high rates of HIV infections. Participants (n = 28 in Manitoba and n = 23 in Saskatchewan) were recruited using various methods, including flyers, community organizations, peers, and social media. The qualitative interviews focused on the pandemic’s impact on health, access to services, and ceremonies. The data were analyzed using inductive thematic analysis. The study identified three key themes: (a) resilience and coping; (b) negative impacts on health and substance use; (c) decreased access to health services, HIV care and harm reduction. The participants shared their experiences of social isolation and the loss of community support, which had deleterious effects on their mental health and substance use. The impacts on access to HIV care were exacerbated by poverty, homelessness, and distress over inadvertent disclosure of HIV status. Participants mitigated these impacts by relying on Indigenous knowledges, ceremonies, and resilience within their communities. Service providers must address the impacts of the COVID-19 pandemic on Indigenous people living with HIV and their access to HIV services and ceremonies.
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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 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".