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Record W222132750 · doi:10.20506/rst.28.2.1913

Innovation in veterinary medical education: the concept of "One world, one health" in the curriculum of the Faculty of Veterinary Medicine at the University of Calgary

2009· article· en· W222132750 on OpenAlexafffundabout
Alastair E. Cribb, Bonnie Buntain

Bibliographic record

VenueRevue Scientifique et Technique de l OIE · 2009
Typearticle
Languageen
FieldHealth Professions
TopicVeterinary Practice and Education Studies
Canadian institutionsCalgary General HospitalHealth Sciences CentreCentre for Global Health ResearchUniversity of Calgary
FundersUniversity of Calgary
KeywordsCurriculumVeterinary educationVeterinary medicineOne HealthDisease controlMedicineAnimal healthHuman medicineMedical educationPolitical sciencePublic healthNursingEnvironmental health

Abstract

fetched live from OpenAlex

Veterinary education must adapt to the changing demands that veterinary medicine is obligated to meet as it serves the needs of the ever-increasing global society. The world community needs the help of veterinary professionals to produce sufficient amounts of safe food, to control and eradicate the increasingly frequent transboundary transmission of disease, and to improve the health of both man and animals, at a global level as well as locally. In recognition of these mounting responsibilities, especially in the need for veterinarians in rural practice, one key venture in Australia has been the creation of the new veterinary school in Wagga Wagga. This paper describes the School's mission and, in particular, the nature of the new veterinary programme that has been created.

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)0.013
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0070.040
Scholarly communication0.0130.005
Open science0.0010.009
Research integrity0.0060.008
Insufficient payload (model declined to judge)0.0040.001

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 head0.218
GPT teacher head0.474
Teacher spread0.255 · 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 designQualitative
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

Citations8
Published2009
Admission routes3
Has abstractyes

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Same venueRevue Scientifique et Technique de l OIESame topicVeterinary Practice and Education StudiesFrench-language works237,207