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Record W6990735016

Effectively Reaching the Equine Community in Kentucky

2022· article· en· W6990735016 on OpenAlexaboutno aff

Bibliographic record

VenueUKnowledge (University of Kentucky) · 2022
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Equine Medical Research
Canadian institutionsnot available
Fundersnot available
KeywordsFencingBarnQuarter (Canadian coin)Animal husbandryAgricultural extensionAgricultureVaccination
DOInot available

Abstract

fetched live from OpenAlex

Since 2009, Extension Specialists and County Extension Agents from the University of Kentucky in the Southeast United States have conducted an annual educational event; the Kentucky Equine Farm and Facilities Expo field-day. These annual field-days have provided practical, hands-on demonstrations and seminars for 135-250 members of the equine community per event. Participants have been a mix of horse owners in relation to farm size, number of horses and business vs. recreation. Many participants have not been previous consumers of Extension educational programming. One of the major draws of the Farm and Facility Expo field days has been the host sites, which have included various well-known Thoroughbred, Sport-Horse and Quarter Horse farms, with an increased number of participants observed when the event was held at well-known farms. Partnerships have been established with many equine related businesses, with over 30 companies displaying their products and services at the event. The educational programs at these events have been conducted by Extension Specialists, industry experts and Extension Agents and have included timely topics such as weed identification and control, vaccination protocols, farm safety, pasture management and renovation, rotational grazing, feeding and nutrition, fencing options, barn design, on-farm solar energy and many others. Post-event evaluations have been conducted and, of the more than 2,400 persons who attended these events, 84.25% of the respondents have found the information presented useful in the management of their horse operation, 78.5% planned to make at least one change in their horse operation and 90% were very satisfied with the event.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.178
Threshold uncertainty score0.355

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0230.003
Scholarly communication0.0050.006
Open science0.0020.019
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0240.002

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 head0.105
GPT teacher head0.329
Teacher spread0.224 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2022
Admission routes1
Has abstractyes

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Same venueUKnowledge (University of Kentucky)Same topicVeterinary Equine Medical ResearchFrench-language works237,207