Aging Muslim immigrants transitioning from Muslim majority countries to Muslim minority countries: A scoping review addressing dynamics of occupation, place, and identity
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Immigration can challenge aging people’s health, social inclusion, and continued engagement in meaningful occupations, causing loss of and/or change in social status, relationships, and roles; all of which can be intimately tied to place and identity. Such losses may lead to depression, isolation, and can negatively affect quality of life. This scoping review aimed to better understand how aging Muslim immigrants re-establish and enact occupations and negotiate their identities across various places in the host country. Findings revealed the diverse ways aging Muslim immigrants made complex negotiations after migrating to an unfamiliar Muslim minority country to fulfill important roles, navigate ways to participate in meaningful occupations, and express their identities safely across places. The reviewed studies showed how this group was frequently confronted by challenges, including cultural and religious rejection, disruption in occupations, and structural barriers. However, many found ways to overcome these challenges through occupational engagement and social connectivity, which supported their integration process. Increased attention to the occupations of aging immigrants will allow researchers, service providers, and policy makers to make meaningful contributions to improve the lives of aging Muslim immigrants.
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.
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 | 0.008 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 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 it