Tenure and promotion evaluations: academics' perceptions at Canadian universities' faculties of education
Bibliographic record
Abstract
Up to now, existing studies suggest that there is a dearth of literature on faculty perceptions about performance evaluations, in particular for education professors. Through mixed methods and equity theory of management, the present study identifies the perceptions of education professors about performance evaluations at Canadian universities' education faculties. It outlines which performance appraisals related to tenure and promotion processes across Canadian universities' education faculties function as workplace demotivators. Based on interview and survey findings, this study reveals that education professors are frustrated with the ambiguity of departmental appraisal standards and merit expectations, and the procedural shortcomings of student course evaluations and peer ratings. However, their dissatisfaction with the aforesaid issues does not translate into turnover intentions. On the contrary, education professors from both professorial groups (junior and senior) and sex (male and female) hold retention intentions.
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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 | 0.002 | 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) | 0.002 | 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".