Three Perspectives on the Experience of Support for Family Caregivers in First Nations Communities
Bibliographic record
Abstract
There is a dearth of research on how family caregivers are supported in First Nations. We interviewed family caregivers, health and community providers, and leaders in two Alberta First Nations Communities about their experiences of care and support for the family caregivers in their communities. We employed a qualitative, collaborative participatory action research methodology. We drew on Etuaptmumk, the Mi’kmaw understanding of being in the world is the gift of multiple perspectives. Participants in this research included family caregivers (n = 6), health and community providers (n = 14), and healthcare and community leaders (n = 6). The overarching caregiving theme is the “Hierarchy of challenge”. Six themes capture the challenges faced by family caregivers: (one) “Caregiving is a demanding job”: yet “No one in a sense is taking care of them”; (two) difficult navigation: “I am unable to access that”; (three) delayed assessments and treatment “And I don’t know how they’re being missed”; (four) disconnected health records: “It’s kind of on you to follow up”; (five) racism, “It’s treated differently”; and, (six) social determinants of health, “A lot of these factors have been developing for the longest time”. This study provides evidence that family caregivers’ need to care for and to maintain their own wellbeing is not top of mind in policy or programs in these First Nations communities. As we advocate for support for Canadian family caregivers, we need to ensure that Indigenous family caregivers are also recognized in policy and programs.
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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 | 0.009 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.035 | 0.016 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".