Ethical Foundations for Educational Administration Essays in Honour of Christopher Hodgkinson
Bibliographic record
Abstract
Part 1. The Life and Work of Christopher Hodgkinson 1. Through the Looking Glass with Christopher Hodgkinson: Letters and Lessons on Life and Leadership from Arcadia West P. Ribbons 2. Christopher Hodgkinson: A Student's Perspective D. Lang 3. The Gentleman with the Lamp D. Allison Part 2. Ethical Foundations for Educational Administrators 4. Aquinas' Notion of Good in the Context of Educational Leadership 5. Morals and Markets: Adam Smith's Moral Philosophy as a Foundation for Administrative Ethics R. Bates 6. A Kantian Critique for Administrative Ethics: An Alternative to the 'Morally Mute' Manager? E. A. Samier 7. The New Pragmatism and Social Science and Educational Research S. Maxey 8. Heidegger's 'Question Concerning Technology' Implications for Responsible School Leadership in an Era of Restructuring C. Harris 9. Vice and Virtue: The Value of Values in Administration W. foster 10. Thinking through Moral Values: Putting Bourdieu to Work within the Field of Educational Management H. Gunter 11. Naturalising Ethical Judgement: A Neuro-Computational View C. Evans 12. Greatness and Service: Antinomies of Leadership? P. Gronn
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.010 | 0.004 |
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 source (direct Gemma or distilled Codex), 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".