United States Citizenship, Involvement, Democracy (CID) Survey, 2006
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
This data collection represents a loose collaboration between Georgetown University's Center for Democracy and Civil Society (CDACS) and the European Social Survey (ESS). The data in Part 1 are from the United States Citizenship, Involvement, Democracy (CID) Survey, which was conducted between mid-May and mid-July of 2005, and consists of in-person interviews with a representative sample of 1,001 Americans who responded to an 80-minute questionnaire. The CID survey is a study of American civic engagement, social capital, and democracy in comparative perspective, and it provides perspective on citizen participation in both the public and private realms. The CID survey is integrated with several elements of a module from the 2002 version of the ESS, which was administered in 22 European countries. In addition to the replicated questions from the ESS, the CID survey includes questions related to the themes of social capital, activities in formal clubs and organizations, informal social networks and activities, personal networks (strong and weak ties), the composition and diversity of ties and associations, trust (in other people, the community, institutions, and politicians), local democracy and participation, democratic values, political citizenship, social citizenship, views on immigration and diversity, political identification, ideology, mobilization and action, and tolerance (concerning views and attitudes, least-liked groups, and racial stereotypes). In order to facilitate and encourage the common use of several key variables, and to help individual users to avoid having to create certain scales and indices, the data in Part 1, Citizenship, Involvement, Democracy Survey Data (US Only), also include the following constructed variables: generalized trust, political action, party identification, participation in voluntary organizations, citizenship norms, the diversity of social networks, racial prejudice/negative stereotypes, national pride, attitudes toward immigrants, and demographic factors. The data in Part 2, 2002 European Social Survey (ESS) Data Integrated with US Data, comprise the responses from the 2002 ESS merged with the responses from the US CID, but only contains the questions common to both the US CID and the 2002 ESS (without any constructed variables). The central aim of the ESS is to measure and explain how people's social values, cultural norms, and behavior patterns are distributed, the way in which they differ within and between nations, and the direction and speed at which they are changing. Data collection for the ESS takes place every two years, by means of face-to-face interviews of around an hour in duration. Demographic variables for Part 1 and Part 2 include race, gender, age, marital status, income, religious preference, and highest level of education.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.005 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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