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Plastic Surgery: Discipline Defined by Techniques

2007· letter· en· W2031495294 on OpenAlexaboutno aff
Rajive Jose

Bibliographic record

VenuePlastic & Reconstructive Surgery · 2007
Typeletter
Languageen
FieldSocial Sciences
TopicDiversity and Career in Medicine
Canadian institutionsnot available
Fundersnot available
KeywordsSpecialtyPlastic surgeryMedicineFeelingCardiothoracic surgeryGeneral surgerySurgeryPopulationDisadvantageReconstructive surgeryVascular surgeryCardiac surgeryPsychologyFamily medicine

Abstract

fetched live from OpenAlex

Sir: I read with interest the editorial by Dr. Nahabedian published in the December 2006 issue of Plastic and Reconstructive Surgery. 1 It has always been a thought in my mind as to what defines plastic surgery as a specialty, especially when teaching undergraduate medical students. Unlike neurosurgery or cardiothoracic surgery, it is not defined by any specific anatomical area, and unlike pediatric surgery, it is not defined by a specific patient population. Plastic surgery is indeed a specialty defined by the techniques used. It tries to restore form and function to those unfortunate patients who have lost it through disease or injury, and in some cases it tries to improve on normalcy and aim for perfection. From the editorial, it appears to be at a disadvantage, since other specialties can “invade” plastic surgery, but it is my feeling that this can well be turned into an advantage. Plastic surgery is not defined by an anatomical area; therefore, plastic surgeons are qualified to operate in areas that are perceived to be the realms of other specialties, as long as their skills are useful there. I remember attending a lecture given by Professor Zuker from Canada in which he talked about his experience as a microsurgeon in helping cardiothoracic surgeons with pediatric coronary artery anastomoses and hepatic surgeons with vascular anastomosis in children. Joseph Murray, who performed the first renal transplant, is indeed a plastic surgeon. As for the cosmetic private practice, which every other specialty wants to have a go at, most patients perceive cosmetic surgery to be within the realms of plastic surgery. I do not think any watertight boundaries are possible with operations that can be performed by many specialties, and as long as these surgeons are suitably trained, they should be able to carry out these operations with safety. The problem, as Dr. Nahabedian has correctly pointed out, is that many of them are not suitably trained and pose a risk to the patients. Rajive Mathew Jose, F.R.C.S. Department of Plastic Surgery Selly Oak Hospital Raddlebarn Road Birmingham, West Midlands B29 6JD, United Kingdom [email protected]

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)0.004
metaresearch head score (Gemma)0.017
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: none
Teacher disagreement score0.011
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.017
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.002
Science and technology studies0.0020.006
Scholarly communication0.0090.008
Open science0.0020.002
Research integrity0.0110.025
Insufficient payload (model declined to judge)0.0050.004

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 head0.029
GPT teacher head0.265
Teacher spread0.236 · 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

Citations0
Published2007
Admission routes1
Has abstractyes

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