The effect of social support and future time perspective on psychological well-being among japanese adult immigrants in Canada across different ages
Bibliographic record
Abstract
The current study examined the relationships between acculturation, future time perspective (FTP), social support, and psychological well-being (i.e., life satisfaction, interdependent happiness, and depression), with consideration of age-related differences. Specifically, the study investigated the relations between acculturation and FTP, the moderating effect of age in the relationship between social support and psychological well-being, and the moderating effect of age in the relationship between FTP and psychological well-being among Japanese immigrants residing in Canada (N =165) through an online survey. The results indicated that mainstream acculturation was positively associated with open FTP and negatively associated with ambiguous FTP, and these FTP mediated the relationship between mainstream acculturation and psychological well-being as an exploratory study. Additionally, there was a moderating effect of age, as instrumental support from co-nationals was positively related to interdependent happiness among older adults, while it was not significantly related to interdependent happiness among younger adults. Furthermore, limited FTP was positively and significantly associated with depression in older adults but not in younger adults. This study also identified main themes of future concerns among immigrants. The results imply that it is crucial to consider age-related differences in social support, future time perspective, and future concerns. Support providers should take age-related differences into account when supporting immigrants. Additionally, more research is needed to identify the types and sources of social support that predict well-being of immigrants based on age. There should also be further exploration into the future time perspective and future concerns of immigrants, considering with age.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".