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Record W1999541109 · doi:10.1080/10401334.2012.664528

Trainees’ Perceptions of Practitioner Competence During Patient Transfer

2012· article· en· W1999541109 on OpenAlexaff
Lawrence Grierson, Adam Dubrowski, Steph So, Nicole Kistner, Heather Carnahan

Bibliographic record

VenueTeaching and Learning in Medicine · 2012
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsSickKids FoundationUniversity of TorontoMcMaster University
Fundersnot available
KeywordsCompetence (human resources)PerceptionPsychologyMedical educationNursingMedicineSocial psychology

Abstract

fetched live from OpenAlex

BACKGROUND: Technical and communicative skills are both important features for one's perception of practitioner competence. PURPOSE: This research examines how trainees' perceptions of practitioner competence change as they view health care practitioners who vary in their technical and communicative skill proficiencies. METHODS: Occupational therapy students watched standardized encounters of a practitioner performing a patient transfer in combinations of low and high technical and communicative proficiency and then reported their perceptions of practitioner competence. RESULTS: The reports indicate that technical and communicative skills have independently identifiable impacts on the perceptions of practitioner competency, but technical proficiency has a special impact on the students' perceptions of practitioner communicative competence. CONCLUSIONS: The results are discussed with respect to the way in which students may evaluate their own competence on the basis of either technical or communicative skill. The issue of how this may lead trainees to dedicate their independent learning efforts to an incomplete set of features needed for the development of practitioner competency is raised.

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)0.002
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 score0.464
Threshold uncertainty score0.576

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 integrity0.0000.001
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 head0.015
GPT teacher head0.317
Teacher spread0.302 · 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

Citations2
Published2012
Admission routes1
Has abstractyes

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