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Record W2486209724 · doi:10.3138/jvme.1015-165r2

Veterinary Student Confidence after Practicing with a New Surgical Training Model for Feline Ovariohysterectomy

2016· article· en· W2486209724 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Veterinary Medical Education · 2016
Typearticle
Languageen
FieldHealth Professions
TopicVeterinary Practice and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineVeterinary educationConfidence intervalPsychologyInternal medicine

Abstract

fetched live from OpenAlex

Lack of confidence and self-efficacy are the main causes of negative emotions experienced by veterinary students when performing surgery. A surgical training model (STM) was developed to test the hypothesis that practical training on an STM before performing live surgery would enhance the students' confidence. In addition, low-cost and easily accessible materials were used for the construction. In the STM, neodymium magnets that were detached if too much traction was applied were used to ensure careful tissue handling during ligation of the ovarian pedicles and cervix. A pilot study was performed to evaluate veterinary undergraduate students' confidence when using the STM before performing their first live feline ovariohysterectomy (OHE) as lead surgeon. The results showed that the students rated their confidence level higher after performing feline OHE if they had practiced with the STM before surgery. Voluntary written comments revealed that live surgery as a learning situation could have a very negative emotional impact on some 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.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.708
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.514
GPT teacher head0.578
Teacher spread0.063 · 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