THE CULTURE OF FAMILY CAREGIVING OF OLDER ADULTS AMONG AFRICAN AND AFRO-CARIBBEAN IMMIGRANTS TO THE US AND CANADA
Bibliographic record
Abstract
Abstract An increasing number of African and Afro-Caribbean immigrants to the United States and Canada are aging. Older adults are dealing with various health conditions, which makes them increasingly dependent on family members and friends for their health and social needs. The assistance they receive includes help with physical care, transportation, medication assistance, and emotional and social support, amongst others. Caregivers play a pivotal role in maintaining the health of older adults of African and Afro-Caribbean immigrants in the United States and Canada. However, very little is understood about the expectations and culture of family caregiving within this group. This study explores the culture of family caregiving of older adults amongst African and Afro-Caribbean immigrants in the United States and Canada. We conducted a scoping review of the literature with the assistance of two experienced health science librarians using CINAHL, PubMed, Embase, and OVID MEDLINE. Preliminary findings show that while some articles discussed aspects of family caregiving on the African continent, none were specific to family caregivers of older adults living in the United States and Canada. While it is important to understand the cultural implications of family caregiving within African communities, there are nuances of the African and Caribbean diaspora that have serious implications for the health of older adults. This study adds to our understanding of family caregiving among African and Afro-Caribbean immigrants. It points to a need for tailored intervention for supporting family caregivers within African and Afro-Caribbean immigrant communities.
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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 | 0.005 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.016 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".