MétaCan
Menu
Back to cohort
Record W1991557961 · doi:10.3138/jvme.34.5.561

Practical Animal-Handling Classes at University College Dublin

2007· article· en· W1991557961 on OpenAlexvenueno aff
Alison Hanlon, Vivian Gath, F.J. Mulligan

Bibliographic record

VenueJournal of Veterinary Medical Education · 2007
Typearticle
Languageen
FieldHealth Professions
TopicVeterinary Practice and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAnimal husbandryAnimal welfareCompetence (human resources)Animal healthMedical educationVeterinary medicineAgricultural scienceMedicinePsychologyAgricultureBiology

Abstract

fetched live from OpenAlex

The first two years of the veterinary program at University College Dublin (UCD) include two modules whereby students gain experience in basic animal handling. Practical Animal Husbandry uses both lectures and animal handling classes aimed at teaching students to approach, restrain, and carry out routine husbandry procedures on food-producing and companion animals humanely and competently and to be aware of the risks to human health of inappropriate animal approach and handling. Staff and students are given lists of animal-handling competencies designed to ensure that students attain relevant handling skills for beef and dairy cattle, pigs, horses, sheep, cats, dogs, and exotics (e.g., rabbits, guinea pigs). Students are allotted up to 12 weeks of Farm and Companion Animal Experience, an extramural (EMS) activity, according to their prior experience; the objectives are to become proficient in the handling and management of animals and to develop an understanding of the key husbandry factors in food-production systems (milk, beef, lamb, pork) at the farm level. Students are assessed in practical examinations at the end of the second year and cannot progress until they have achieved the required competence. In addition to the pedagogic strategies, special consideration is given to the welfare of the animals used in teaching practicals and to the health and safety of teaching staff and students.

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)0.004
metaresearch head score (Gemma)0.005
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.446
GPT teacher head0.573
Teacher spread0.127 · 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

Citations13
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Veterinary Medical EducationSame topicVeterinary Practice and Education StudiesFrench-language works237,207