Bibliographic record
Abstract
No one championed evidence-based general practice more than Fry, arguably the world's most influential GP of his day. Fry, 1922-1994, made unparalleled contributions to the reformation of British general practice in the second half of the 20th Century. In the 1950s and 1960s he dominated the movement for evidence-based primary care and the operational intelligence of better practice management. He became the most prolific publisher of facts and figures in the history of general practice, and the first systematic surveyor of all the everyday diseases of a single practice, monitoring their natural histories and the effectiveness of treatments. His pioneering, evidence-based approach was fundamental to the transformation of general practice into a specialty and its modern strengths as the bedrock of UK health care. Almost a Legend documents the journey of a young immigrant Polish boy to becoming the best known GP in the world, beginning with Jewish origins and remarkable family heritage. It follows his career from public school, through medical school and into General Practice, including his contributions to the Royal College of GPs, the Royal Society of Medicine, the GMC, WHO and Royal Army Medical Corps. John Fry was a radical, unique and unheralded sceptic anxious to improve the delivery of patient care by questioning existing practice in a nice iconoclastic fashion. Sadly, from the patient's perspective, only in recent times are many of his sensible ideas being taken up by his conservative profession. Alan Maynard, Professor of Health Economics, University of York, UK Many of us in the United States and Canada and many other countries consider Fry a legend because of his seminal contributions to our thinking about the care of patients with common diseases, and his concept of primary care as a functional level of care from where secondary care and long-term support can be mobilised and coordinated. His work contributed directly to the Report of the US Institute of Medicine A Manpower Policy for Primary Care published in 1978. Fry never blew his horn, but his ideas travelled widely and influenced thinking about primary care world wide. Few physicians contributed more to medicine in the second half of the 20th century. Philip R Lee, Professor of Social Medicine Emeritus and Chancellor Emeritus,University ofCalifornia, San Francisco
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.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".