Civic Engagement and Civic Attitudes in Cross-National Perspective: Introduction to the Symposium
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
Although civic engagement as a field of study has a long tradition in political science, it re-emerged in the 1990s as a result of real world events and academic scholarship. Popular revolutions in Eastern Europe and elsewhere led to a renewed interest in ‘people power’ across the world, including in the United States.And political scientist Robert Putnam’s study of civic community in Italy, followed by his analysis of changing patterns of social capital in the United States, helped to launch a new research agenda in the fields of comparative and American politics. Indeed, over the last fifteen years since the publication of Making Democracy Work, and over a decade since the article versions of what eventually became Bowling Alone, numerous works have addressed the themes of civil society and social capital, in a wide variety of theoretical and empirical contexts (see, for example, Adler and Kwon, 2002; van Deth, 1997; Foley and Edwards, 1999; Glaeser et al., 2002; Hooghe and Stolle, 2003; Howard, 2003; Lidstrom, 2006; Lin, 2001; Newton, 2006; Paxton, 2002; Portes, 1998; Woolcock, 1998).
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 | 0.001 |
| 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 | 0.001 |
| 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 it