Faculty Salaries in Ontario: Compression, Inversion, and the Effects of Alternative Forms of Representation
Bibliographic record
Abstract
The author estimates the incidence of salary compression and inversion, and the effects of different forms of collective representation (unions and special plans, with and without binding arbitration), for faculty at Ontario universities over the 1970–2004 period. The data show large decreases in the salary differential between full and associate professors and severe compression and inversion in age-salary profiles in the 2000s. Union representation had no effect on salaries compared to no formal representation. Special plans without binding arbitration led to lower salaries, while special plans with binding arbitration yielded higher salaries, but all of the estimated effects were small. Average salaries were lower the higher the proportion of female faculty in the 1970s, but this effect became statistically insignificant by the early 1990s. Finally, faculty salaries responded to the cost of living in the university's city, and were higher, on average, in universities with higher average research productivity.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".