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Record W113994068

C.A.V. BARKER SYMPOSIUM ON CANADIAN VETERINARY HISTORY

2002· article· en· W113994068 on OpenAlexaboutno aff
Brian Derbyshire

Bibliographic record

VenueEurope PMC (PubMed Central) · 2002
Typearticle
Languageen
FieldHealth Professions
TopicVeterinary Practice and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHonorGraduation (instrument)Veterinary medicineHistoryLibrary scienceMedicineEngineering
DOInot available

Abstract

fetched live from OpenAlex

On June 15, 2001, the Ontario Veterinary College hosted a Symposium on Canadian Veterinary History to honor the contributions to this field by Dr. C.A.V. Barker. The event was held in conjunction with the Alumni Weekend at the University of Guelph, and it attracted over 80 participants, including several of Dr. Barker's classmates and collaborators. The year 2001 was the 60th anniversary of Dr. Barker's graduation from the Ontario Veterinary College. The participants were welcomed to the symposium by Dr. Alan Meek, dean of the College, and an appreciation of Dr. Barker's contributions to Canadian veterinary history was given by Dr. Brian Derbyshire. He pointed out that Dr. Barker was a maker of history by virtue of his pioneering work in theriogenology and by his professional involvement, having served as council member, president, and life member of both the Ontario Veterinary Association and the Canadian Veterinary Medical Association. Dr. Barker coauthored 3 outstanding books on Canadian veterinary history — on the history of the Ontario Veterinary Association, with Dr. Margaret Evans; on the history of the Canadian Veterinary Medical Association, with Dr. Terry Crowley; and on the history of the Canadian Army Veterinary Corps, with Dr. Ian Barker. He also published 10 historical research papers. These included research on the Ontario Veterinary College during the Temperance Street era in Toronto; biographical studies of John Rutherford, M.A. Cuming, Edward Grange (with Zbigniew Wojcinski), Walter Boswell (with Jay Isa) and Robert Robinson; and research on the early history of preceptorships at the Ontario Veterinary College and on the Royal Veterinary College centennial medal. Dr. Barker's outstanding historical work was recognized by grants and awards from the Royal Society of Canada, the Canadian government, the Humanities and Social Sciences Research Council of Canada, the Ontario Arts Council, the British Council, and the Canadian Veterinary Medical Association. In response, Dr. Barker paid tribute to his collaborators for their contributions to his work. Speakers at the symposium included Dr. Philip Teigen, who traced the development of veterinary education in the United States and Canada between 1866 and 1930, and Dr. Thomas Dukes, who presented important new findings on the history of the Queen's University School of Veterinary Science. Dr. Ole Nielsen spoke about the history of veterinary medicine in Canada as it related to the environment, focussing on such early contributors as Dr. Seymour Hadwen. Dr. Donald Barnum, a classmate of Dr. Barker, traced the development of veterinary bacteriology in Canada during the 60 years of his career. The final paper was by Dr. Ian Barker, on the evolution and demise of the Canadian Army Veterinary Corps. The symposium concluded with a visit to the C.A.V. Barker Museum of Canadian Veterinary History, which was named in 1990 by the University of Guelph in honor of Dr. Barker's long service as director of the Museum, and as the College Historian and Archivist. Dr. Ian Barker outlined the history of the museum and acknowledged the support of the Ontario Veterinary College Alumni Association in its development. (by Dr. Brian Derbyshire, Ontario Veterinary College, Guelph, Ontario)

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)0.006
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: Other · Consensus signal: Other
Teacher disagreement score0.935
Threshold uncertainty score0.638

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.005
Science and technology studies0.0160.005
Scholarly communication0.0090.003
Open science0.0010.005
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0460.007

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 head0.201
GPT teacher head0.351
Teacher spread0.149 · 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
GenreOther

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
Published2002
Admission routes1
Has abstractyes

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