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Record W1968618702 · doi:10.3138/jvme.32.3.361

The Massey University Veterinary School

2005· article· en· W1968618702 on OpenAlexvenueno aff
Norm Williamson

Bibliographic record

VenueJournal of Veterinary Medical Education · 2005
Typearticle
Languageen
FieldHealth Professions
TopicVeterinary Practice and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsReputationVeterinary educationVeterinary medicineMedical educationDegree programQuality (philosophy)MedicinePolitical sciencePsychologyCurriculumPedagogy

Abstract

fetched live from OpenAlex

INTRODUCTION Massey University at Palmerston North, New Zealand, has been educating veterinarians in its BVSc degree program since 1964, when the first 32 students were selected into the second year of the degree. These students finished their studies in 1967 and graduated in 1968. Since then, Massey University graduates have provided veterinary services in the private and public sectors in New Zealand and also have gone on to positions of influence and leadership in the profession throughout the world. The BVSc degree from Massey University is the only university course offering a veterinary degree in New Zealand. It has developed an international reputation for quality, based on the performance of its graduates in the diverse roles that have benefited from their veterinary education.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.556
Threshold uncertainty score0.633

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.5560.165

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 head0.336
GPT teacher head0.534
Teacher spread0.198 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2005
Admission routes1
Has abstractyes

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