Mentoring and Role Modelling in Educational Administration and Leadership: Neoliberal/globalisation, Cross-cultural and Transcultural Issues
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
Many, if not most, of my writing comes from experience, as it does for many scholars -either observing situations and events, being among those involved in these, and the many discussions with students and colleagues about the experiences they have gone through in many countries I have visited or worked in. This topic of mentoring and the related role of role modelling initially came to me shortly after doing my doctorate in a mentoring mode with Christopher Hodgkinson in Canada, and my ideas about this were reinforced when I was mentored in informal postdoctoral work with Wolfgang Mommsen in Germany in the 1990s. Since that time, I have mentored some of my doctoral students, particularly in the last few years working with several in the Arabian Gulf. It was time for me to revisit my research and understanding of this topic after going through several years of research trips, guest lecturing and collaborative projects in Western, Central and Eastern Europe, followed by several
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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 it