Ageing together and the paradox of negotiating care transitions for informal disability carers in migrant multicultural communities
Bibliographic record
Abstract
This paper examines care transition planning and the experiences of ageing carers who provide care for family members with disability from culturally and racially marginalised migrant (CaRM) backgrounds in Western Sydney. The study was designed as collaborative qualitative research involving family-based in-depth interviews and a validation workshop with nine families with a total of 16 participants: parents (n = 9); adult family members with disability (n = 7). The findings in this paper report only on informal carers (n = 9) and show that ageing informal carers are anxious about the future, stemming from their self-awareness of ageing, ongoing health concerns, and frustration with service systems. Long-term care transition plans include seeking independence for the family member with a disability, continuing living together until the end of life, and relying on normative disability services. The paper argues that ageing informal carers from CaRM backgrounds providing disability care face a growing challenge in negotiating social and healthcare service barriers affecting how they plan for future care. Ongoing advocacy and awareness of disability issues in CaRM communities are essential for prioritising care transition planning, disability rights, and service navigation. Carer support organisations should empower aging carers to address inconsistencies in aged and disability care, considering cultural norms.
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 | 0.010 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.030 | 0.026 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.003 | 0.018 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".