The role of social capital: bridging, bonding or both?
Bibliographic record
Abstract
[First paragraph of Introduction] : Nonprofit scholars have investigated several theoretical avenues in their search for an understanding of the role of nonprofit organizations in society. Some discussions have concentrated on the economic role of nonprofit organizations focusing on contribution to GDP (Stewart, 1996, Weisbrod, 1998), job growth (Hall & Banting, 2000), and the labour force value of volunteer work (Day & Devlin, 1996; Duchesne, 1989). Other discussions have considered the role from the perspective of contribution to society in terms of social service provision, and recreational and cultural enrichments beyond what can be provided by the for profit or government sectors (Hall & Banting, 2000, Kramer, 2000, Salamon & Anheier, 1998). Yet, a third scholarly focus has been to investigate the role of voluntary organizations in developing and maintaining social capital. With the publication of Putnam’s (2000) book, Bowling Alone, this concept has become the topic of increasing academic discourse, because of the connection that he makes between voluntary associations, social capital and economic development. Indeed, Putnam (1993, 1995) and Fukuyama (1995) conclude that social capital is a precondition for economic prosperity. The purpose of this paper is to explore the role of voluntary organizations as bridgers and bonders in society and the implications of this role in social and economic development. Keywords: CVSS, Centre for Voluntary Sector Studies, Working Paper Series, TRSM, Ted Rogers School of Management
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.024 | 0.004 |
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".