Beyond the Empirical-Normative Divide: The Democratic Theory of Jane Mansbridge
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
Jane Mansbridge's intellectual career is marked by field-shifting contributions to democratic theory, feminist scholarship, political science methodology, and the empirical study of social movements and direct democracy. Her work has fundamentally challenged existing paradigms in both normative political theory and empirical political science and launched new lines of scholarly inquiry on the most basic questions of democratic equality, deliberation, collective action, and political representation. Her three best-known books— Beyond Adversary Democracy (1980), Why We Lost the ERA (1986) and Beyond Self-Interest (1990a)—have become part of the political science canon and remain staples on graduate course syllabi decades after their publication. The importance of Mansbridge's work has been recognized by her colleagues through a trifecta of major APSA awards: the Gladys M. Kammerer Award (1987), the Victoria Schuck Award (1988), and, most recently, the James Madison Award and Lecture (2011).
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 | 0.005 | 0.003 |
| 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 | 0.010 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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