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Record W2054994267 · doi:10.3138/jvme.33.1.93

Development of Veterinary Communication Skills at Murdoch University and in Other Australian Veterinary Schools

2006· review· en· W2054994267 on OpenAlexvenueno aff
Jennifer N. Mills, Peter Irwin, John Baguley, Michael Meehan, Heidi E. Austin, Lee Fitzpatrick, Bruce W. Parry, Trevor J Heath

Bibliographic record

VenueJournal of Veterinary Medical Education · 2006
Typereview
Languageen
FieldHealth Professions
TopicVeterinary Practice and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumInterpersonal communicationCommunication skillsSocial skillsMedical educationVeterinary medicineProfessional developmentMedicineCurriculum developmentPsychologyPedagogy

Abstract

fetched live from OpenAlex

A historical perspective of the development of interpersonal communication and consultation skills workshops within the veterinary curriculum at Murdoch University is presented, along with plans for the future in this area. Videos have been found to be valuable teaching tools for triggering discussion in workshops on communication issues and in reviewing real client consultations. More use could be made of role plays with actors involving challenging consultations, and changes in the curriculum could allow for aspects of professional and applied interpersonal skills to be incorporated at an earlier stage of the program. An overview of the professional communication programs in other Australian veterinary schools is also presented. Most programs involve interaction with veterinary practitioners and consultants such as counselors and psychologists, and most veterinary schools offer a program of professional development spanning five years of the curriculum.

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)0.003
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.933
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.438
GPT teacher head0.561
Teacher spread0.123 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations19
Published2006
Admission routes1
Has abstractyes

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