Determinants of Agricultural Economic Faculty Salaries: A Quarter of a Century Later
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 research studies factors that influence the salary level of university agricultural economists. Comparisons to previous work suggest that the impact of a single publication on salary has declined over the past twenty-five years; however, the return to relative publications is the same. The impact of years of experience has increased. Analysis of a different model specification suggests that the number of publications, advisees, and grants obtained positively impact salaries, while undergraduate course load has a negative impact. Results show that mobility and marketability significantly increase salary. Analysis suggests that there is a significant negative impact associated with an extension appointment and a significant positive impact associated with employment at a Ph.D.-granting university. Finally, the Wilcoxon matched-pairs signed rank test indicates that most universities' average salaries follow the market.
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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) | 0.001 | 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