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Record W2050646526 · doi:10.1007/s11999-008-0349-6

Lewis A. Sayre: The First Professor of Orthopaedic Surgery in America

2008· article· en· W2050646526 on OpenAlexfundno aff
Jay M. Zampini, Henry H Sherk

Bibliographic record

VenueClinical Orthopaedics and Related Research · 2008
Typearticle
Languageen
FieldMedicine
TopicHistory of Medical Practice
Canadian institutionsnot available
FundersSchool of Medicine, New York UniversityYork UniversityNew York Academy of Medicine
KeywordsMedicineOrthopedic surgerySports medicineGeneral surgerySurgeryPhysical therapy

Abstract

fetched live from OpenAlex

Lewis Albert Sayre (1820-1900) is considered to be among the founding fathers of orthopaedic surgery in the United States. He studied medicine at the College of Physicians and Surgeons (now of Columbia University). Sayre later helped establish the first academic department of orthopaedics at the Bellevue Medical College where he served as their first Professor of Orthopaedics. Lewis Sayre treated a considerable diversity of musculoskeletal conditions and meticulously documented them with written notes, sketches, and photographs. As a public figure, his methods were controversial, attracting praise by some and inviting criticism by other prominent members of the international community. He made great strides for physicians, helping to charter the American Medical Association and to establish the weekly publication of the Journal of the American Medical Association.

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)0.002
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: Empirical · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0280.013

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 head0.185
GPT teacher head0.442
Teacher spread0.257 · 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
GenreEmpirical

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

Citations10
Published2008
Admission routes1
Has abstractyes

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