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Record W2139443519 · doi:10.2460/javma.2004.224.676

What can veterinarians learn from studies of physician-patient communication about veterinarian-client-patient communication?

2004· review· en· W2139443519 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of the American Veterinary Medical Association · 2004
Typereview
Languageen
FieldHealth Professions
TopicVeterinary Practice and Education Studies
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsHuman medicineMedical educationMedical informationMedical literaturePsychologyMedicineFamily medicinePathology

Abstract

fetched live from OpenAlex

There is limited information in the veterinary litera- ture on veterinarian-client-patient communication, and what is available is predominantly based on expert opin- ion and anecdotal information, not peer-reviewed scien- tific studies. In contrast, the human medical communi- cation literature contains a large number of empirical studies. Thus, a review of research of physician-patient interactions is a logical starting place to determine what steps veterinary researchers, educators, and practition- ers could take to investigate and address veterinarian- client-patient interactions. The purposes of this report were to summarize recent advances in human medical communication research and education, link findings in human medical communication research to veterinary medicine, and provide a rationale for development of communication research and education programs in vet- erinary medical schools.

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.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.920
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.002
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0000.000

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 head0.260
GPT teacher head0.518
Teacher spread0.258 · 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