Generating Social Capital: Civil Society and Institutions in Comparative Perspective
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Generating Social Capital: Civil Society and Institutions in Comparative Perspective, Marc Hooghe and Dietlind Stolle, eds., New York and Houndmills, Basingstoke: Palgrave Macmillan, 2003, pp. 256 The concept of “social capital” has become a popular buzzword. Like other authors, the contributors to this volume draw on Robert Putnam's well-known definition of social capital as “generalized trust, norms of reciprocity and networks” among individuals (2). Social capital is credited with providing a wide range of social benefits, including tolerance of diversity, economic growth, lower crime rates, better health and more responsive government. The grandiose claims made on behalf of social capital and the large amounts of money being poured into developing social capital in diverse social settings, as well as the fuzziness of the original concept, mean that careful analysis of the idea of social capital is badly needed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| 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 it