The dragons of conflict in 54 years of a global, Living Educational Theory Research approach to professional development
Bibliographic record
Abstract
‘Here Be Dragons’, refers to dangerous and unchartered contexts. In this paper the metaphor is used to reflect on both the dangers and the exciting opportunities of a 52 year educational research programme into an individual’s professional development as an educator and educational researcher. It moves from local classroom contexts into UK higher education and then into global, higher education contexts, including the Republic of Ireland, Canada, China, Nepal, India, USA and South Africa with learning from research presentations and workshops in many countries. It includes the clarification of the meanings of embodied values that distinguish a practice as ‘educational’ and constitute the values of human flourishing. It includes the transformation of these embodied values into explanatory principles of practical judgements on educational influences in learning, in the creation of an epistemology for international professional development in education.
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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 | 0.024 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.012 | 0.081 |
| Scholarly communication | 0.020 | 0.019 |
| Open science | 0.001 | 0.013 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".