Politics and Professional Advancement Among College Faculty
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 article first examines the ideological composition of American university faculty and then tests whether ideological homogeneity has become self-reinforcing. A randomly based national survey of 1643 faculty members from 183 four-year colleges and universities finds that liberals and Democrats outnumber conservatives and Republicans by large margins, and the differences are not limited to elite universities or to the social sciences and humanities. A multivariate analysis finds that, even after taking into account the effects of professional accomplishment, along with many other individual characteristics, conservatives and Republicans teach at lower quality schools than do liberals and Democrats. This suggests that complaints of ideologically-based discrimination in academic advancement deserve serious consideration and further study. The analysis finds similar effects based on gender and religiosity, i.e., women and practicing Christians teach at lower quality schools than their professional accomplishments would predict.
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 | 0.001 | 0.000 |
| 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