The Family and Political Dimension of Social Cohesion: Analysing the Link Using the 2000 National Survey on Giving, Volunteering and Participating
Bibliographic record
Abstract
This study examines the effects of family on patterns of civic engagement (through giving, volunteering and membership in organizations) of Canadian men and women. Data are from the 2000 National Survey of Giving, Volunteering and Participating (NSGVP), which collected information on personal and family variables such as age, sex, household size, marital status, and presence of children. The study finds that changes in families could have opposite effects on civic participation depending on the indicator. Children, for example, have positive impact on volunteering, but negative on association membership of men. And, full employment of women hinders volunteering but encourages participation in associations. In contrast, social capital has unequivocal effect - whether measured as length of stay in community or as influences when the respondents were young, social capital increases all forms of civic involvement.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| 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".