Social support and health: immigrants and refugees perspectives
Bibliographic record
Abstract
Migration and integration are linked to depleted support networks. Although social support is a key determinant of health, newcomers’ appraisal of social support and its impact on health have not been adequately studied. This investigation focused on immigrants’ and refugees’ views of social support, its perceived influence on health and the use of health-related services. Individual in-depth interviews were conducted with 60 Chinese immigrants and 60 Somali refugees in Canada. The study revealed many stressful situations, including health problems that signified a need for support. Just as inadequateand inappropriate support has a negative impact on health, poor health can diminish available support. Social support facilitated employment and ability to meet basic needs, reduced stress, and improved physical and mental health. Support from others reduced loneliness and despair and enhanced the mental health of newcomers. Newcomers believedthat inadequate support exerted a negative influence on their health and use of health-related services, and that poor health had a detrimental effect on the ability to seek or offer support.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".