Bibliographic record
Abstract
Introduction / Terry Nichols Clark -- Karaoke together vs. bowling alone : scenes illuminate how Western rules can be transformed to drive development and democracy / Terry Nichols Clark ... [et al.] -- Voluntary associations, social inequality, and participatory democracy in the United States and Korea / Seokho Kim -- Citizen participation in Seoul, Tokyo, and Chicago / Wonho Jang, Terry Nichols Clark, Miree Byun -- From bowling alone to Karate together (USA to Asia) : preliminary claims & findings / Joseph E. Yi -- Civic and arts activities can energize politics, France and Europe / Daniel J. DellaPosta ... [et al.] -- Cultural strategies, creativity, and local development in Spain / María Jesús Rodríguez-García, Cristina Mateos Mora, Clemente J. Navarro Yáñez -- (Re)defining bohemia in Seoul, Tokyo, and Chicago / Wonho Jang, Terry Nichols Clark, Miree Byun -- Was Tocqueville wrong? Buzz as charisma, creativity, and glamour; new sources of political legitimacy supplementing voting, and civic participation / Terry Nichols Clark, Filipe Carreira da Silva -- Buzz : a theory, illustrated in Toronto and Chicago / Daniel Silver, Terry Nichols Clark -- Culture is on the rise : why? Theories of cultural participation and empirical evidence / Terry Nichols Clark, Peter Achterberg -- How context transforms citizen participation : propositions / Filipe Carreira da Silva, Terry Nichols Clark -- The contextual effect of local scenes on cultural practices : the case of Spain / Clemente J. Navarro Yáñez, María Jesús Rodríguez-García -- Global contexts of politics and arts participation / Terry Nichols Clark, Filipe Carreira da Silva, Susana L. Farinha Cabaço
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.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.099 | 0.016 |
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".