Financial strain, social capital, and perceived health during economic recession: a longitudinal survey in rural Canada
Bibliographic record
Abstract
Although the health consequences of financial strain are well documented, less is understood about the health-protective role of social capital. Social capital refers to a sense of community embeddedness, which is in part reflected by group membership, civic participation, and perceptions of trust, cohesion, and engagement. We investigated whether perceptions of social capital moderate the relation between financial strain and health, both mental and physical. This longitudinal study surveyed adults in two communities in rural Ontario where significant job losses recently occurred. Data were collected on financial strain, social capital, perceived stress, symptoms of anxiety and depression, and physical health on three occasions over 18 months (N's = 355, 317, and 300). As expected, financial strain positively related to perceived stress, poor physical health and symptoms of anxiety and depression, whereas social capital related to less stress, better physical health, and fewer symptoms of anxiety and depression. Effects of financial strain on perceived stress and depressive symptoms were moderated by social capital such that financial strain related more closely to perceived stress and depressive symptoms when social capital was lower. The findings underscore the health-protective role of community associations among adults during difficult economic times.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".