Problem-based learning in clinical education: the next generation
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
Bridges, McGrath and Whitehill, from The University of Hong Kong, are the editors of this eighth volume in the Springer ‘Innovation and Change in Professional Education’ series. The book contains articles from practitioners and researchers in the problem-based learning (PBL) field and contains contributions from research conducted in Australia, Canada, Germany, Hong Kong, Japan, Sweden and the USA. The research reported is from traditional PBL areas such as biology, dentistry, medicine, pharmacology and speech/language pathology; it also includes several interdisciplinary approaches to PBL such as Howe and Schnabel’s dentistry/architecture collaboration in Chapter 8......Despite these few shortcomings, I found the book provided valuable information for PBL practitioners and researchers to move forward the topic of ‘how to do PBL’.
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 | 0.016 | 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 | 0.002 | 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 it