Perspectives of only children on the use of smart technologies for transnational family care
Bibliographic record
Abstract
Adult-only children who migrate face challenges to manage their caregiving responsibilities towards older parents transnationally. We investigated the opportunities and gaps of smart remote monitoring and robotic technologies to meet these family care needs of migrants permanently residing in Europe. Twenty-five semi-structured interviews were conducted and thematically analysed. Participants currently provided minimal and by-in-large emotional care to parents living mostly in Asia, but anticipated challenges with parents’ increasing age and health issues. Studied technologies may ameliorate informational opacity, alert for emergency support, and strengthen emotional care. Participants also identified barriers that prevented these benefits to be fully realized, such as complexity, lack of maturity to practically support in emergencies, and questionable cost-effectiveness. Overall, transnational carers face heightened burdens to family care and were hopeful to integrate these new tools in their care albeit with barriers. Building on existing literature, the technologies included in our study could contribute to further legitimizing the commitment and work of transnational family carers.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".