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Record W2330153610 · doi:10.5455/aim.2016.24.149-149

The Most Influential Scientist in the Development of Medical informatics (11): David B. Shires

2016· review· en· W2330153610 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueActa Informatica Medica · 2016
Typereview
Languageen
FieldHealth Professions
TopicMedical Coding and Health Information
Canadian institutionsnot available
Fundersnot available
KeywordsEngineering

Abstract

fetched live from OpenAlex

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.024
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.911
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0240.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0040.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.204
GPT teacher head0.499
Teacher spread0.295 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it