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Record W2027910082 · doi:10.3138/jvme.36.2.196

Didactic and Experiential Training to Teach Communication Skills: The University of Wisconsin-Madison School of Veterinary Medicine Collaborative Experience

2009· article· en· W2027910082 on OpenAlexvenueno aff
Ruthanne Chun, Susan Schaefer, Corissa C. Lotta, J Banning, Susan E. Skochelak

Bibliographic record

VenueJournal of Veterinary Medical Education · 2009
Typearticle
Languageen
FieldHealth Professions
TopicVeterinary Practice and Education Studies
Canadian institutionsnot available
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute of Child Health and Human Development
KeywordsExperiential learningCurriculumMedical educationGeneral partnershipCommunication skillsPsychologyTraining (meteorology)Veterinary medicineMedicinePedagogyPolitical science

Abstract

fetched live from OpenAlex

Teaching communication skills to veterinary students is recognized as important; however, incorporation of this into an already crowded curriculum is difficult. At the University of Wisconsin-Madison School of Veterinary Medicine we provide mandatory communication lectures to freshmen and sophomores, and offer elective experiential courses to juniors and seniors. Providing both didactic and experiential training allows students to learn and practice communication techniques in a "safe" setting. Our approach to experiential training is unique in that graduate students in counseling psychology (masters and doctoral level) act as "clients" for the juniors, and professional simulated pet owners are hired for digitally captured role-plays with the seniors. A unique inter-professional partnership has been formed between the Schools of Veterinary Medicine, Education (Department of Counseling Psychology), and (Human) Medicine and Public Health to provide this experiential training for our students. The purpose of this article is to describe the communication training program at the University of Wisconsin-Madison School of Veterinary Medicine and to encourage other programs to reach across campus and partner with other colleges with the goal of improving training for all of the individuals involved.

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)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.164
Threshold uncertainty score0.874

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.230
GPT teacher head0.520
Teacher spread0.290 · 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.

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

Citations25
Published2009
Admission routes1
Has abstractyes

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