Core values of ethical leaders in South African schools
Bibliographic record
Abstract
In the research reported on here we explored teachers’ understanding of what they perceived as core values of ethical leadership in education. Using qualitative research within an interpretivist design, data were collected through semi-structured interviews with teachers and school management team (SMT) members and analysed using Tesch’s coding method. The theoretical underpinnings of the paper are grounded in 3 distinct ethics of care, justice and critique. The findings cannot be generalised since the results highlighted in this article only report on those applicable to this small qualitative sample. The main themes that emerged from the findings included the participants’ understanding of 3 core values of ethical leadership. They emphasised trust, respect and transparency as vital components of ethical leadership. Recommendations include more training and research for secondary school teachers who are not well equipped with the knowledge, skills and tools to approach the needs of disenfranchised and disadvantaged learners at their schools. A more nuanced understanding of transparency in schools, policy and practices is needed.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".