New Scholars, New Scholarship: Political Understanding and EngagementAn Interview with Anne Colby
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
Anne Colby is a Senior Scholar at the Carnegie Foundation for the Advancement of Teaching, where she co-directs the Political Engagement Project and the Preparation for the Professions Program. Prior to joining the Carnegie Foundation in 1997, she was director of the Henry Murray Research Center at Harvard University. She is co-author of four books: A Longitudinal Study of Moral Judgment (1983), The Measurement of Moral Judgment (1987), Some Do Care: Contemporary Lives of Moral Commitment (1992), and Educating Citizens: Preparing America's Undergraduates for Lives of Moral and Civic Responsibility (2003). She is co-editor of Ethnography and Human Development: Context and Meaning in Human Inquiry (1995), Competence and Character Through Life (1998), and Looking at Lives: American Longitudinal Studies of the Twentieth Century (2002). She holds a B.A. from McGill University and a Ph.D. in psychology from Columbia University. While not a "new scholar," she has some interesting new scholarship under way. She was contacted about her research.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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