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Record W2344457315 · doi:10.3138/jvme.0515-084r2

Student Perceptions of the Use of a Laser Pointer for Intra-Operative Guidance in Feline Castration

2016· article· en· W2344457315 on OpenAlexvenueno aff
Märit Badman, Katja Höglund, Odd Viking Höglund

Bibliographic record

VenueJournal of Veterinary Medical Education · 2016
Typearticle
Languageen
FieldHealth Professions
TopicVeterinary Practice and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLaser pointerPerceptionPointer (user interface)PsychologyMedicineLaserComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

In veterinary clinical education, students perform surgery under guided supervision. This study aimed to determine if students' perception of how well they understood verbal guidance could be improved by using a laser pointer during feline castration. It was assumed that a teacher's use of a laser pointer could help students identify structures of importance during surgery. The hypothesis was that use of a laser pointer would improve student understanding of verbal guidance during surgery. Eighteen privately owned male cats were electively neutered by fourth- and fifth-year veterinary students at the Swedish University of Agricultural Sciences, Uppsala, Sweden. Each student performed orchiectomy on one cat. One testis was removed while the student received verbal guidance combined with a laser pointer, and the other testis was removed while the student received only verbal guidance. The use of a laser pointer alternated between first and second testis. After surgery, students rated how well they understood verbal guidance on a visual-analog scale (100 mm) for each instructional method. The two ratings were compared in a student's two-sided t-test. The median score with or without guidance with a laser pointer was 81 (59-96) and 54 (25-86), respectively (p<.001). This study showed that laser pointers enhanced verbal guidance given to students during surgery. The suggested mechanism of explanation is that the technology enabled a more precise guidance of location and identification of anatomic structures.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.349
Threshold uncertainty score0.495

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
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 integrity0.0000.000
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 head0.425
GPT teacher head0.582
Teacher spread0.157 · 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

Citations4
Published2016
Admission routes1
Has abstractyes

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