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IN MEMORIAM ALLAN J. (AL) CAWLEY

2008· article· en· W1986270826 on OpenAlexaboutno aff
J. Bartels, P. W. Pennock

Bibliographic record

VenueVeterinary Radiology & Ultrasound · 2008
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Orthopedics and Neurology
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCharterGeorge (robot)General surgeryArt historyArchaeologyHistory

Abstract

fetched live from OpenAlex

Allan J. (Al) Cawley was born in 1928 in Jamaica, West Indies. His elementary and secondary school education was in Jamaica. In 1948, Al applied, and was accepted, to Ontario Veterinary College (OVC), which at that time was part of the University of Toronto. He received his DVM degree from OVC in 1952 and returned to practice in Jamaica for 2 years before an appointment to OVC in 1954. He received his MVSc from OVC in 1957 and a DVSc from the University of Toronto in 1962. His expressed interest, thesis and dissertation dealt with bone development, juvenile bone diseases and orthopedic surgery. He was appointed Division Head of Clinical Sciences in 1963 succeeding James Archibald. He was mentored and educated in surgery and experimental surgery by J. Markowitz, J. Archibald, and H. G. Downie. He later contributed, in the 1964 copyright edition of Experimental Surgery by the same authors, considerable material on the subject of small animal surgery and medicine from which the First Edition of Archibald Canine Surgery originated. He was mentored in Radiology by W. Broome, MD, a local radiologist associated with Guelph General Hospital and R. B. Salter, MD,of Children's Hospital of the University of Toronto. Al exhibited considerable interest in veterinary radiology, and thus was one of the founding members (1957) of the Educators in Veterinary Radiologic Science and subsequently became a Charter Diplomate of the American College of Veterinary Radiology in 1965, originally called the American Board of Veterinary Radiology. Simultaneously, he became a Charter Diplomate of the American College of Veterinary Surgeons. During his academic career, he authored many papers on juvenile and developmental bone disease in the dog including ununited anconeal process, Legg-Perthes disease, and fracture healing and non-union fractures. He was a close friend and collaborator with Dr. Sten Eirk-Olsson of the Royal College of Veterinary Medicine in Stockholm, Sweden. This also introduced him to spinal surgery in the dog and the cat. During his tenure at OVC, he trained several residents in radiology and surgery including P. W. Pennock, J. E. Bartels, W. Putnam, Jack Alexander, Mike Kaye, and G. Sumner-Smith. During his tenure as Division Head at OVC, the sections of Clinical Medicine expanded greatly in the area of soft tissue and orthopedic surgery as well as radiology and radiation therapy. He resigned from his academic appointment at OVC in 1969 to take a position in a specialty surgery practice in Halifax, Nova Scotia. This endeavor was short-lived in that he was recruited and appointed head of Clinical Sciences at the University of Illinois College of Veterinary Medicine in 1970. Subsequently, he held a similar appointment in Clinical Sciences at Mississippi State University College of Veterinary Medicine until the mid-1980s. He then entered private practice in New Port Richey, FL, specializing in surgery and radiology and continued as a sole owner of his practice from 1985 to 2003 and then retired, with his wife, Sharyn, to Homosassa, FL. Al was soft-spoken, and veterinary medicine was his vocation as well as his avocation. Occasional time at the helm of his sailboat provided his leisure. He was an excellent teacher, easy-going, very intelligent, and a pleasure to have as a lifelong mentor. He truly prepared the way for the rest of us to enter the discipline of radiology. His zeal for veterinary medicine, excellent teaching methods, intelligence, and dexterity, shaped him as the quintessential surgeon. Al Cawley passed away in Florida on April 18, 2007, at the age of 79.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.616
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.072
GPT teacher head0.322
Teacher spread0.250 · 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 designBench or experimental
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
Published2008
Admission routes1
Has abstractyes

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