The Most Influential Scientist in the Development of Medical informatics (11): David B. Shires
Bibliographic record
Abstract
David B. Shires (1931–2011) David Shires was Professor of Family Medicine and Community Health and Epidemiology at Dalhouaie University, Canada (1-3). Dr. Shires has practiced medicine in Africa, United Kingdom and United States and has been a resident in Canada for the past 20 years. His early work includes development of a computerized medical record system for the Apollo astronauts. Dr. Shires was elected President of the International Medical lnformatics Association (IMIA) in 1980, and holds Honorary Fellowship, in IMIA as well as the British Computer Society. In 1983 in Paris, he received the Silver Core award for meritorious services to international computing by the International Federation for Information Processing (IFIP). In 1974 he published a book on Computer Technology called “Computer Technology in the Health Sciences” and in 1986 he co-authored “Family Medicine: A Guidebook for Practitioners of the Art”. David B. Shires assumed the IMIA presidency in 1980, one year after the transition from TC4. During his term (1980-1983), Shires reached agreements with the regional group for Central and South America, known as IMIA-LAC (Latin American Countries), and the most populous country in the world, the People’s Republic of China (PRC), making them active participating members in IMIA. Shires saw IMIA as a family, within which “the then USSR and Eastern Bloc countries as well as other countries such as Cuba, could indulge in animated and mutually productive discussions with their western counterparts with each respecting the other’s political differences.” IMIA worked to become meaningful to developing countries and forged new bonds with the World Health Organization. In 1992, Shires reflected that “IMIA has grown considerably in reputation, recognition and credibility in the ten years since I left the presidency, largely due to the continuing hard work of Presidents Peterson, Kaihara and Willams.” Today IMIA reflects Shires’ goal for his presidency in its international constituency, which goes “beyond the Europe–North America-Japan axis to much greater world vision.” Today, the IMIA family includes a newly invigorated African region (HELINA) and is well on its way to facilitating the establishment of a Middle East Region. (MedInfo 1983: Amsterdam, The Netherlands).
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 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 | 0.008 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.014 | 0.012 |
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".