“You Have Sown the Seed and Only Time Will Tell”: Dr Jerome P. Webster's Contribution to the Development of Plastic Surgery in China Through His 1948 Course in Shanghai
Bibliographic record
Abstract
ABSTRACT: In 1948, Dr Jerome P. Webster-"father of plastic surgery education" and founding member of the American Board of Plastic Surgery-taught plastic surgery to 13 Chinese surgeons through the American Bureau for Medical Aid to China (ABMAC). Founded in 1937, the ABMAC worked with the Chinese government to transfer medical knowledge and supplies from the United States. The founding of the ABMAC in 1937 coincided with the second Sino-Japanese War and increased American aid to China following Pearl Harbor. Webster's course featured lectures on wound healing, surgical management of burns, and defects of the face. Reading assignments included techniques such as neck-tubed pedicles and Webster's own articles on war wounds of lips and cheeks and ear deformities. After 4 weeks of lectures, dog surgeries, and cadaver dissections, Webster and students operated at 2 Shanghai hospitals, including the National Defense Medical Center Hospital where they treated combat-injured soldiers. In correspondence, one student wrote that he later "carried out a number of rather minor operations using the technique and methods" taught by Webster, viewing his Shanghai experience as an incentive to study plastic surgery. Many of Webster's students proceeded to found plastic surgery departments in their corresponding hospitals, establishing a lasting legacy of this educational exchange. Through a review of the Jerome P. Webster Papers available at Columbia University including lecture materials and correspondence, this article examines Webster's contributions to plastic surgery education in China and its impact on Sino-American medical exchange. It ultimately highlights a lesser-known aspect of the history of plastic surgery, as well as Webster's role in shaping plastic surgery in China.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".