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Thomas John (Jock) Murray, OC, MD, FRCP(C), MACP, LLD(Hon), DSC(Hon), FRCP(Lon): A Conversation with the Editor

2003· article· en· W1591567240 on OpenAlexaboutno aff
William C. Roberts, T. J. Murray

Bibliographic record

VenueBaylor University Medical Center Proceedings · 2003
Typearticle
Languageen
FieldNeuroscience
TopicNeurology and Historical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsConversationTheologyArtPhilosophyLinguistics

Abstract

fetched live from OpenAlex

Dr. Jock Murray (Figure ​(Figure11) was born in Pictou, Nova Scotia, Canada, on May 30, 1938. He attended St. Francis Xavier University in Antigonish and Dalhousie University School of Medicine in Halifax, graduating with honors in 1963. After 2 years in general practice, Dr. Murray returned to Halifax to train in internal medicine and then in neurology in Halifax, London, and Toronto, before joining the Dal housie medical faculty in 1970. He professor of medicine (neurology), professor of medical humanities, and dean of medicine, with professional appointments also in the departments of family medicine, community health and epidemiology, and history at Dalhousie University. He founded and has been director of the Dalhousie Multiple Sclerosis Research Unit for the past 23 years.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.020
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.004
Open science0.0010.001
Research integrity0.0060.009
Insufficient payload (model declined to judge)0.0070.003

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 head0.012
GPT teacher head0.193
Teacher spread0.181 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2003
Admission routes1
Has abstractyes

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