A Review of Ethnicity, Culture, and Acculturation Among Asian Caregivers of Older Adults (2000-2012)
Bibliographic record
Abstract
This review identified domains of care experiences among studies of Chinese, Filipino, Japanese, Korean, and Vietnamese caregivers in the United States and Canada between 2000 and 2012. Using a narrative approach, 46 peer-reviewed journal articles were found through electronic databases and references. Considering caregivers' assimilation to host countries, attention was given to their culture, socioeconomic resources, immigrant status, filial responsibility, generation, and acculturation. Three primary domains were identified across subgroups. The caregivers' experiences domain was a strong sense of filial responsibility and its varied effects on caregiving experience; in the cultural values domain, reciprocity, and familism. In the acculturation domain, caregivers' generations influenced their experiences. Because our society is rapidly changing demographically and culturally, studies of older adults and their caregivers that are not only inclusive of all racial/ethnic groups but also sensitive to specific racial/ethnic and cultural subgroup differences are necessary to inform policy and practice.
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.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.008 | 0.010 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".