Lecturer engagement mediates the effect of transformational leadership and training on lecturer performance and compensation moderates the effect of lecturer engagement on lecturer performance
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 study chose Contingency Theory as a theoretical perspective to empirically investigate the role of transformational leadership, training, lecturer engagement, and compensation in improving lecturer performance. The research respondents were 166 lecturers at the College of Economics in Riau Province. The data was processed using PLS Structural Equation Modeling (SEM). This study proposes lecturer engagement and compensation as a strategy to improve lecturer performance. From the results, it was clear that transformational leadership and education and training affected lecturer performance, lecturer engagement played a role in mediating the effect of leadership and training on lecturer performance, and compensation moderated the effect of lecturer engagement on lecturer performance. These results reinforce the Contingency Theory which states that individual and organizational performance depends on the motivational system and the extent to which the leader has control and influence in certain situations.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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