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Record W2030431791 · doi:10.1097/prs.0b013e3181a3f401

Leslie Gabriel Farkas, M.D., Ph.D., D.Sc., 1915 to 2008

2009· article· en· W2030431791 on OpenAlexaffabout
Christopher B. Forrest

Bibliographic record

VenuePlastic & Reconstructive Surgery · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCleft Lip and Palate Research
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineGraduation (instrument)EnthusiasmCraniofacial surgerySurgeryCraniofacial

Abstract

fetched live from OpenAlex

In an ever-changing world, Leslie Farkas was a constant. Into his early 90s, he was a constant presence within the Division of Plastic Surgery at The Hospital for Sick Children, sitting in his office, bubbling with an enthusiasm and energy normally reserved for children at Christmas. He was a constant source of stimulation and interest for the house staff and trainees who rotated through this institution. Leslie constantly championed the field of accurate and consistent facial assessment through the field of craniofacial anthropometry. Finally, his name was constantly cited at almost any meeting involving plastic surgery that you would care to mention. Leslie Gabriel Farkas was born on April 18, 1915, in Rózsahegy, Hungary (present-day Slovakia). After graduation from medical school at Comenius University in Pozsony (now Bratislava) in 1941, he was drafted into the Slovak army, where he served on both fronts as a military doctor. His career in plastic surgery started in Prague at Charles University under the mentorship of Dr. F. Burian, and he received his Certificate of Plastic Surgery in 1956. This was followed by a Ph.D. in 1959 and a D.Sc. on surgical techniques for hypospadias repair in 1968. His interest in craniofacial morphology began during his period in Prague. Early in his surgical career, he became dissatisfied with the determination of the morphological changes in the head and face using visual assessment alone. Thus, he began to explore the use of classic anthropometric methods for the quantitative analysis of faces preoperatively and postoperatively. He collaborated with anthropologist Professor Karel Hajnis to develop an empirical system of facial measurements to analyze the faces of patients with congenital anomalies or facial deformities caused by trauma. In 1968, after receiving an invitation from Dr. William K. Lindsay, chief of plastic surgery in Toronto, Canada, requesting that he develop the area of craniofacial anthropometry as a new focus for research, Dr. Farkas moved to Canada and began his 40-year career at The Hospital for Sick Children. The emerging field of craniomaxillofacial surgery developing under the influence of Dr. Paul Tessier resulted in the recruitment of Dr. Ian R. Munro, who shared Leslie's passion for objective facial assessment techniques, and led to the publication of Anthropometric Facial Proportions in Medicine (coauthored by Ian R. Munro), which is now in its second edition as Anthropometry of the Head and Face. Employed at The Hospital for Sick Children, in Toronto, he continued exploring his interest in craniofacial anthropometry. Because normative data did not exist, he spent much of his career measuring faces and compiling a huge database of norms. He soon realized, however, that just taking linear measurements was not enough. The relations of measurements (i.e., proportions) are of paramount importance in the evaluation of the facial framework. Dr. Farkas was very much aware of the fact that the North American white normative data he compiled could not be applied to different racial and ethnic groups. He took great effort to collect as diverse data as possible to differentiate the norms of different ethnic groups while encouraging scientists from around the world to collect their own population's normative measurements and collaborated with people from all parts of the world. His concepts became known to all interested in anything to do with the face, and the “Farkas norms” became a household term. Leslie continued to work almost to the day of his passing. His office was next door to mine, and I remember how he would routinely seek me out to tell me what he was working on and how critical it was that reconstructive surgeons appreciate the classic canons of facial anthropometry. His distinctive accent proclaiming “How can anyone reconstruct the face if they do not know what the normal values and proportions are?” would echo in my ear as my secretary would remind me that I had a less stimulating but necessary meeting to attend. I envied his passion and dedication. My head still turns automatically to look and see if his door is ajar as I walk by. The assistance of his wife, Susan, in maintaining his productivity cannot be overlooked, and in his later years, she was integral to making sure that his correspondence and manuscripts were dealt with. Leslie's fascination with the human face and craniofacial anthropometry has transcended the arena of plastic surgery and has influenced forensic science, lost children identification programs, three-dimensional visualization technology, and computer software in the popular movie industry and in orthodontic planning. Leslie married his wife, Susan, in 1971. They have one daughter, Julia. His only granddaughter, Enikő, was born in 2008. His body of work included 244 scientific works, including four textbooks. However, in compiling his lifelong fascination with the face, Leslie Farkas has accomplished an enviable achievement—he has left a legacy that will provide a constant source of reference for future generations of those interested in achieving the best possible results in plastic surgery. This is not something to be taken lightly.Figure: Leslie Gabriel Farkas, M.D., Ph.D., D.Sc., 1915 to 2008.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.374
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.263
Teacher spread0.244 · 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 teacher head, not a consensus.

Study designObservational
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

Citations1
Published2009
Admission routes2
Has abstractyes

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