Religious and Secular Voluntary Participation by Immigrants in Canada: How Trust and Social Networks Affect Decision to Participate
Bibliographic record
Abstract
Abstract Participation in voluntary associations is an important part of an immigrant’s integration into a host country. This study examines factors that predispose an immigrant’s voluntary involvement in religious and secular organizations compared to non-immigrants (“natives”) in Canada, and how immigrants differ from natives in their voluntary participation. The study results indicate that informal social networks, religious attendance, and level of education positively correlate with the propensity of both immigrants and natives to participate and volunteer in religious and secular organizations. Immigrants who have diverse bridging social networks, speak French and/or English at home, and either attend school or are retired are more likely to participate and volunteer for secular organizations. Further, social trust matters to native Canadians in their decision to engage in religious and secular organizations but not to immigrants. Pride and a sense of belonging, marital status, and the number of children increase the likelihood of secular voluntary participation of natives but not of immigrants. These findings extend the current understanding of immigrant integration and have important implications for volunteer recruitment.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".