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Record W2986089215 · doi:10.3138/jvme.1217-186r1

Development and Evolution of the Clinical Skills Learning Center as an Integral Component of the Illinois Veterinary Professional Curriculum

2019· article· en· W2986089215 on OpenAlexvenueno aff
Dawn E. Morin, Lorrie K. Hale-Mitchell, Leslie Klis McNeil, Sherrie Lanzo, Heather E. Soder, David D. Williams, Jonathan H. Foreman, Herbert E. Whiteley

Bibliographic record

VenueJournal of Veterinary Medical Education · 2019
Typearticle
Languageen
FieldHealth Professions
TopicVeterinary Practice and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumStaffingVeterinary medicineCenter (category theory)Medical educationProfessional developmentScope (computer science)Faculty developmentCurriculum developmentComponent (thermodynamics)MedicinePsychologyPedagogyNursing

Abstract

fetched live from OpenAlex

The University of Illinois College of Veterinary Medicine opened a clinical skills laboratory in August 2009, making it one of the earliest North American veterinary schools to do so. The Clinical Skills Learning Center has been an integral component of the Illinois veterinary professional curriculum since its inception. However, its role in the curriculum has changed over time, which has had an impact on its size, scope, and staffing. In this article, we describe the development and growth of the Clinical Skills Learning Center, with an emphasis on its evolving curricular role and the lessons we have learned over nine years.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.089
Threshold uncertainty score0.644

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.194
GPT teacher head0.526
Teacher spread0.332 · 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 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

Citations7
Published2019
Admission routes1
Has abstractyes

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