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Record W3011696066 · doi:10.3138/jvme.2019-0067

Survey of Integrative Veterinary Medicine Training in AVMA-Accredited Veterinary Colleges

2020· article· en· W3011696066 on OpenAlexvenueno aff
Mushtaq A. Memon, Justin Shmalberg, Huisheng Xie

Bibliographic record

VenueJournal of Veterinary Medical Education · 2020
Typearticle
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAccreditationCurriculumMedicineVeterinary medicineMedical educationFamily medicinePsychology

Abstract

fetched live from OpenAlex

A survey approved by the Association of American Veterinary Medical Colleges was sent to the academic deans of all 49 accredited veterinary colleges to obtain information on educational programs offered in integrative veterinary medicine (IVM). Results were compared to a previous survey with a similar design performed 7 years earlier. Survey responses were received from 43 of 49 institutions (87.8%). Thirteen respondents (30.2%) reported offering a formal course in IVM, 33 (76.7%) offered some level of instruction in the curriculum, and 32 (74.4%) provided clinical services in IVM. The most common IVM topics covered in the curriculum were rehabilitation and acupuncture. Dedicated courses in IVM had decreased since the previous survey, although faculty trained in at least one aspect of IVM increased. Clinical services incorporating IVM were present in the majority of veterinary teaching hospitals. Further investigation is required to determine the effectiveness of current IVM training in preparing veterinary graduates to discuss or utilize IVM in practice.

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)0.002
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.630
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.299
GPT teacher head0.461
Teacher spread0.161 · 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 designObservational
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

Citations16
Published2020
Admission routes1
Has abstractyes

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