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Record W2432194017

Soundings: Passing out parade

2001· article· en· W2432194017 on OpenAlexaboutno aff
Colin Douglas

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldHealth Professions
TopicChild and Adolescent Health
Canadian institutionsnot available
Fundersnot available
KeywordsSurpriseHEROParadeBattlePortraitHistoryLawMedia studiesArt historySociologyArtLiteraturePolitical science
DOInot available

Abstract

fetched live from OpenAlex

I wrote one myself once, when a friend of more than 30 years drowned on holiday, in high summer and at the peak of his formidable powers. Most aren't like that. They tell of longer lives: of careers—whether glorious, dutiful, or just humdrum—that went the distance; of retirements enriched by strange pastimes; and of final illnesses. They remind us we must die. But they are also vivifying. Each week offers a gallery of portraits of lives mostly unknown until over. And the pleasures they elicit are not voyeuristic, but those of the vast enjoyable diversity of our profession, and of our common humanity. Even colleagues we thought we knew quite well surprise us when they are gone. A modest and kindly obstetrician, later a dean, is posthumously revealed as a wartime hero, a ship's doctor imperturbable on a burning destroyer. Thus his Distinguished Service Cross is explained, along with his calm, wry management of the worst that any faculty committee could throw at him. And a more peppery senior colleague can be forgiven a little now that the details of a sadly deprived childhood (Eton, also during the war) have surfaced. But it is the strangers who intrigue us most: the aspiring actuary who switched to medicine, practised in the wilds of Canada, and trained as a pilot (fixed wing and helicopter); the paediatrician who made Calman reforms work “through his effective mix of lucidity, assertiveness, and humour,” and in his retirement composed a guitar concerto; and the psychiatrist who pioneered home treatment for patients with severe mental illness, “and thought nothing of helping them with their housework while conducting expert psychiatric assessment.” Three brief lives, all from one batch of BMJ obituaries (BMJ 2001;323:696), with so many more to relish over the years. They are our folklore, our collective memory, our most dignified of gossip columns, and—for those of us for whom the appeal of the job advertisements has long faded—a treat to look forward to each week. Now, like a lot else in the BMJ, obituaries have changed: more and shorter, with longer versions on the website for those who wish further details. I have only one further suggestion. They offer so much that their role in our professional development should now be properly recognised: by a modest award—to be claimed on visiting and perusing the website—of CME points.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.567
Threshold uncertainty score0.809

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0150.002
Scholarly communication0.0090.006
Open science0.0010.011
Research integrity0.0020.007
Insufficient payload (model declined to judge)0.4330.195

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 head0.118
GPT teacher head0.459
Teacher spread0.342 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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
Published2001
Admission routes1
Has abstractyes

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