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Record W2475182743 · doi:10.1055/s-2003-45394

The Young Man from Canada

2003· editorial· en· W2475182743 on OpenAlexaboutno aff
Jerold F Lucey

Bibliographic record

VenueAmerican Journal of Perinatology · 2003
Typeeditorial
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

I was a research fellow in Dr. Clement Smith's group at the Boston Lying-in Hospital in 1955 and 1956, which was across the street from the Children's Hospital. These were separate worlds. We were studying “preemies,” usually “normal preemies,” trying to determine normal values for pulmonary function. Once a week we visited Children's for Grand Rounds, to keep in touch with our pediatric roots. In those days it was common for Montreal to send its best and brightest to Boston or New York City for some part of their clinical training. It was therefore no surprise to find that the Chief Resident was a young man from Canada, Peter Auld. He was articulate, tall, bright, handsome, and obviously a future academician. We thought he'd return to Canada one day. He stayed in Boston for 5 years, mostly “across the street” working with Abe Rudolph studying circulation in the neonatal period. It was an exciting time. The world of neonatology (a word not yet invented) was emerging and it was strictly an East Coast/Boston, NYC/Oxford Club. A cluster of people interested in newborn physiology, who all knew one another, (C. Smith, J. Bancroft, J. Dawes, Stan James, W. Tooley, N. Nelson, W. Silverman, R. Day, M. Avery, V. Apgar, T. Ope, J. Dancis, H. Reardon, M. Stahlman, A. Rudolph, T. O'Brien, M. Cornblath, L. Gluck, S. Segal, R. Usher, J. Sutherland) communicated, visited, and worked together. Note that West Coast neonatology did not yet exist in the 1960s! None of us realized that one day there would be over 5,000 “neonatologists” in the USA alone, and that what had been a small field would turn into a major pediatric subspecialty, indeed an industry, the engine that supports many academic departments. Peter returned to Montreal after 5 productive years in Boston (1955-60) and then 2 years later in 1962 returned to the New York Hospital where he established a true perinatal center where he has reigned for over 40 years. Congratulations, Peter, on a highly productive career. May you live happily ever after.

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)0.005
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: Editorial · Consensus signal: none
Teacher disagreement score0.262
Threshold uncertainty score0.526

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0180.002
Scholarly communication0.0060.003
Open science0.0020.004
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.1460.045

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 head0.003
GPT teacher head0.225
Teacher spread0.223 · 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
GenreEditorial

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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