Bibliographic record
Abstract
Patrick Byrne was a pioneer in developing specific and vocational training for general practitioners. Byrne’s commitment to the education of general practitioners extended worldwide. This was exemplified when working as chairman of the Leeuwenhost Group, a group of university teachers of general practice that spanned 11 European countries. In 1971, he gave the W. Victor Johnston Memorial Oration to the College of Family Physicians of Canada. Notably, he was awarded the Hippocratic Medal of the International Society for General Practice in 1963, and the Sesquicentennial Medal of the Medical University of South Carolina in 1974. The model is useful for analysing ‘dysfunctional’ consultations where the patient may be misunderstood and dissatisfied whilst the doctor may be frustrated and today it is sometimes included in consultation training for general practitioner trainees. Byrne authored and co-authored a great number of publications. Perhaps the most influential piece was the book he co-authored with B. E. Long, Doctors Talking to Patients .
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.050 | 0.026 |
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".