Interprofessional educators’ competencies, assessment, and training – IPEcat: protocol of a global consensus study
Bibliographic record
Abstract
Contemporary practice in interprofessional education (IPE) has evolved predominantly focusing on the competencies for interprofessional collaboration (IPC) that learners must acquire. Competencies that educators need to successfully deliver IPC have been overlooked. This lack of attention is further confounded by a field replete with inconsistent terminology and standards and no global consensus on the core competencies needed for IPE facilitation. There are no globally accepted tools to assess interprofessional educators' competencies nor are there established training programmes that might be used as the basis for a collective global approach to these issues. The International Working Group for Interprofessional Educators Competencies, Assessment, and Training (IWG_IPEcat) seeks to address this gap using a sequential mixed-method approach, to deliver globally developed, empirically derived tools to foster IPE educator competencies. This article presents the protocol of the research project.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".