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Record W2123877050 · doi:10.1136/bmj.321.7276.1589

Why are (male) surgeons still addressed as Mr?

2000· article· en· W2123877050 on OpenAlexaboutno aff
Irvine Loudon

Bibliographic record

VenueBMJ · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicDiversity and Career in Medicine
Canadian institutionsnot available
Fundersnot available
KeywordsPossession (linguistics)MedicineKingdomLawPolitical science

Abstract

fetched live from OpenAlex

Surgeons, or rather male surgeons, are always addressed as Mr in the United Kingdom and the Republic of Ireland, sometimes but not always in Australia and New Zealand, and rarely in Canada or the United States. This curious British tradition is such a mystery to doctors in other countries as well as to the British public, that even a work as erudite as the 1996 edition of The New Fowler's Modern English Usage seems to have got it wrong.1 Is it therefore a tradition that should be perpetuated indefinitely, or should it be abandoned? To understand how the tradition arose it is necessary to go back to the beginning of the 18th century, when physicians were distinguished by the possession of a university medical degree: an MD. Although many had acquired their MDs abroad with minimal effort or bought them for about £20 (about £800 today) from the Universy of Aberdeen or of St Andrews, the possession of a medical doctorate entitled physicians and no other medical practitioner to be addressed as “doctor.” Eighteenth century surgeons, who were of course addressed as Mr, seldom had any formal qualification except in the case of the few who were Members of the Company of Surgeons. After the founding of the Royal College of Surgeons of London in 1800, however, it was customary for surgeons to take the examination for Membership of the Royal College of Surgeons and put MRCS after their name.2 #### Summary points (Male) surgeons are always addressed as Mr in the United Kingdom and the Republic of Ireland The tradition arose before 1800 when physicians were by definition doctors who possessed a university medical degree (an MD); surgeons seldom had any formal qualifications The growth of voluntary hospitals in the 18th century brought high status to surgeons After the founding …

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)0.002
metaresearch head score (Gemma)0.018
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.072
Threshold uncertainty score0.241

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0720.046

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 head0.041
GPT teacher head0.316
Teacher spread0.276 · 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
GenreCommentary

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

Citations32
Published2000
Admission routes1
Has abstractyes

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Same venueBMJSame topicDiversity and Career in MedicineFrench-language works237,207