Intergenerational Exchanges In Aging South Asian Muslim Families: An Intersectional Lifecourse Perspective
Bibliographic record
Abstract
Abstract International migration flows are increasing at a rapid pace and are often accompanied by emergent global realities, (re)negotiation of identities and familial bonds, anticipated challenges, and unforeseen exigencies. Concomitantly, advances in public health have resulted in longer lives with an increasing proportion of the global population now 65 years and older. While these demographic shifts have received considerable research attention, little is known about aging South Asian Muslim families in the US and the ways in which they adjust and adapt to shifting social realities. To address this gap, this qualitative study explores the intersections of faith, culture, gender, age, and immigrant status, and how these seminal life course events shape intergenerational care and support exchanges in South Asian Muslim families. Building on findings from 30 in-depth narrative interviews with three generations of immigrant South Asian Muslim women, and using an intersectional lifecourse perspective, this study explores the (re)negotiation of familial bonds and the enactment of religious beliefs and practices such as those around filial expectations in a transnational Islamic context. It shows how, for the grandmothers, daughters, and granddaughters in the study, their Islamic faith was a part of both the public sphere and a collective ideology, as well as a deeply personal and intimate attachment that provided structure and continuity in their everyday lives. Finally, the implications of these findings in the broader context of Islamophobia and salient structural barriers to accessing available health and social support services for aging South Asian Muslim families are discussed.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".