Intersections of creativity in the evaluation of the Wilson Centre Fellowship Programme
Bibliographic record
Abstract
OBJECTIVES: Comprehensive programme evaluation frameworks are increasingly important to inform the development of sophisticated programmes that educate the next generation of health professions education researchers. This paper highlights an innovative process undertaken by the Wilson Centre for Research in Education to evaluate its fellowship programme. This process incorporates the principles of programme theory and a framework drawn from the field of organisational development. METHODS: During the iterative and dynamic process of articulating the programme's theory, a hidden tension between structured and unstructured components of the fellowship programme was unearthed. This necessitated a secondary process beyond traditional programme evaluations involving the use of a method called 'Polarity Management®'. RESULTS: The use of this model allowed the team to identify priority actions for balancing both the structured and unstructured components, along with indicators which can serve as an early warning system to alert observers to any imbalance between the components. DISCUSSION: Lessons learned and implications for other health education programming and the practice of programme evaluation are discussed.
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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 | 0.005 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.001 | 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".