Endogenous social capital and self-rated health: Results from Canada’s General Social Survey
Bibliographic record
Abstract
In this study we analyze data from Statistics Canada’s General Social Survey, a cross-sectional and nationally representative survey of Canada’s population, to assess the impact of three dimensions of social capital on self-rated health. We measure these dimensions, which consist of social networks and social support, civic participation and social participation, with a comprehensive set of 5 indicators. To avoid reverse causality due to the cross-sectional nature of the data, we employ an instrumental variable simultaneous equations bivariate probit regression model. Our findings indicate that all of the tested dimensions of social capital have a positive and significant impact on self-rated health. These findings suggest that social capital plays an important role in enhancing the health of Canada’s population. Endogeneity was detected in all of our estimations. Consequently, this study also has important methodological implications in that we demonstrate that relying solely on naive estimations leads to biased results.
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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 | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".