The Leadership Teachers Want from Principals: Transformational
Bibliographic record
Abstract
The purpose of this study, which was part of a larger study, was to examine teacher perceptions of transformational leadership qualities among principals. From a randomly generated sample of 135 public schools in the province of Alberta, Canada, 77 schools agreed to participate in a study on leadership attributes of principals. Ten randomly selected teachers from each participating school were asked to complete the Multifactor Leadership Questionnaire (MLQ) (Bass & Avolio, 1995, 1997, 2000a) for their respective principals. The MLQ was a quantitative instrument in which teachers rated principals. Based on teacher responses, principals were stratified into categories according to whether they possessed high or low levels of transformational leadership qualities. Using the MLQ to rank principals allowed for clear selection criteria to group them. Once the principals were stratified, 10 teachers were then selected for in-depth interviews. Five of the teachers worked with principals who were characterized as highly transformational
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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 | 0.002 | 0.002 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".