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Record W2111293438 · doi:10.3138/jvme.0113-015r

Workplace Learning in Veterinary Education: A Sociocultural Perspective

2013· article· en· W2111293438 on OpenAlex
Emma Scholz, Franziska Trede, Sharanne Raidal

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 · 2013
Typearticle
Languageen
FieldHealth Professions
TopicVeterinary Practice and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFraming (construction)Sociocultural perspectiveSituated learningSociocultural evolutionAffordanceAgency (philosophy)Perspective (graphical)PedagogyPractice theoryContext (archaeology)SituatedPsychologySociologyMedical educationMedicineSocial science

Abstract

fetched live from OpenAlex

Veterinary practice is a broad sphere of professional activity encompassing clinical activity and other vocational opportunities conducted in rapidly changing contemporary social conditions. Workplace learning is an important but resource-intensive component of educating students for practice. This conceptual article argues that literature on workplace learning in the veterinary context is dominated by descriptive accounts and that there is a dearth of theoretically informed research on this topic. Framing veterinary practice as a social, relational, and discursive practice supports the use of workplace learning theories developed from a sociocultural perspective. Situated learning theory, with its associated concepts of communities of practice and legitimate peripheral participation, and workplace learning theory focused on workplace affordances and learner agency are discussed. Two composite examples of student feedback from veterinary clinical learning illustrate the concepts, drawing out such themes as the roles of teachers and learners and the assessment of integrated practice. The theoretical perspective described in this article can be used to inform development of models of workplace learning in veterinary clinical settings; relevant examples from medical education are presented.

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)0.001
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.257
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.255
GPT teacher head0.539
Teacher spread0.285 · 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