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Record W2259564571 · doi:10.3138/jvme.0815-136r

Fifty Years of Evolving Partnerships in Veterinary Medical Education

2015· article· en· W2259564571 on OpenAlexvenueno aff
Deborah T. Kochevar

Bibliographic record

VenueJournal of Veterinary Medical Education · 2015
Typearticle
Languageen
FieldHealth Professions
TopicVeterinary Practice and Education Studies
Canadian institutionsnot available
FundersYükseköğretim KuruluCouncil for Higher EducationWestern University of Health Sciences
KeywordsAccreditationContext (archaeology)Veterinary educationPolitical scienceVeterinary medicineMedical educationPublic relationsMedicineCurriculumGeography

Abstract

fetched live from OpenAlex

The Association of American Veterinary Medical College's (AAVMC's) role in the progression of academic veterinary medical education has been about building successful partnerships in the US and internationally. Membership in the association has evolved over the past 50 years, as have traditions of collaboration that strengthen veterinary medical education and the association. The AAVMC has become a source of information and a place for debate on educational trends, innovative pedagogy, and the value of a diverse learning environment. The AAVMC's relationship with the American Veterinary Medical Association Council on Education (AVMA COE), the accreditor of veterinary medical education recognized by the United Sates Department of Education (DOE), is highlighted here because of the key role that AAVMC members have played in the evolution of veterinary accreditation. The AAVMC has also been a partner in the expansion of veterinary medical education to include global health and One Health and in the engagement of international partners around shared educational opportunities and challenges. Recently, the association has reinforced its desire to be a truly international organization rather than an American organization with international members. To that end, strategic AAVMC initiatives aim to expand and connect the global community of veterinary educators to the benefit of students and the profession around the world. Tables in this article are intended to provide historical context, chronology, and an accessible way to view highlights.

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)0.005
metaresearch head score (Gemma)0.020
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.287
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.581
GPT teacher head0.578
Teacher spread0.003 · 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
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

Citations2
Published2015
Admission routes1
Has abstractyes

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