Bibliographic record
Abstract
Abstract. This paper evaluates the importance of social capital for political participation of native-born Canadians and immigrants. The Survey of Social Engagement in Canada, a large survey of Canadians conducted by Statistics Canada in 2003, is used in order to test the role of social relations and connections in accounting for political participation. Analyses show that although the “usual suspects” play important roles in explaining political activities, the main culprit is social capital. Among social capital measures, though all are important, associational involvement and social networks, followed by trust and volunteering, are the best predictors of political participation. Moreover, the effect of social capital varies by period of immigration. Theoretical and policy implications of findings are discussed. Résumé. Cet article évalue l'importance du capital social pour la participation politique des Canadiens de naissance et des immigrés. L'Enquête sociale générale, cycle 17 : L'Engagement social, une grande enquête menée par Statistique Canada en 2003, sert de toile de fond pour estimer le rôle des rapports et liens sociaux dans la participation politique. Les analyses montrent que, bien que d'autres facteurs connus jouent un rôle dans le choix d'activités politiques, le plus important est le capital social. Parmi les mesures de ce facteur, qui sont toutes importantes, l'activité au sein d'une association et les réseaux sociaux, suivis de la confiance et du travail bénévole, sont les meilleurs prédicteurs de la participation politique. Suit une discussion des conséquences théoriques de ces résultats et de leur incidence sur la politique générale.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.007 |
| 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".