Growing Old in a Transnational Setting: Investigating Perceptions of Ageing and Changing Filial Ties Among Older Indians in Saskatoon
Bibliographic record
Abstract
Numerous studies have examined the experience of growing old in a transnational context among Indians. However, in most of these studies, the older adults had immigrated as senior citizens to be with their adult children. Indians who have grown old in transnational settings have not been examined in detail in the gerontological scholarship. Adopting a cross-cultural lens, the present study focusses on perceptions of ageing among older Indians who have grown old in the city of Saskatoon. The study demonstrates how these older Indians refute the Successful Ageing model and accept their physical weaknesses in their course of ageing. Additionally, the study also examines how caregiving arrangements and intergenerational relationships are shaped among these older Indians and their adult children, in a transnational city, such as Saskatoon. Finally, the study highlights how later life gender roles are constructed in a transnational backdrop.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".