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Record W2996394639 · doi:10.1002/cbe2.1204

The relationship between the volume of clinical presentation exposures, hours, and student self‐rated confidence

2019· article· en· W2996394639 on OpenAlexaff
Mark R. Lafave, Michelle Yeo

Bibliographic record

VenueThe Journal of Competency-Based Education · 2019
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsMount Royal University
Fundersnot available
KeywordsConfidence intervalWilcoxon signed-rank testMedicineVolume (thermodynamics)Self-confidencePsychologyInternal medicineMann–Whitney U testSocial psychology

Abstract

fetched live from OpenAlex

Abstract Introduction The relationship between student's self‐rated confidence and competency development is not clearly understood. The purpose of this study was to explore the relationship between confidence, the total number of practical hours, and the volume of clinical presentation (CP) exposures. Methods Confidence, practical hours, and the volume of CP exposures were collected over the last two years for thirteen undergraduate athletic therapy students, and a Spearman rho and Wilcoxon rank test were employed. Results Confidence grew steadily throughout the two years. Statistically significant relationships emerged between confidence and the volume of CP exposures at various time points. Discussion There were three significant findings in this study: (a) Confidence grew steadily over the course of a two‐year period; (b) the volume of CP exposures could influence confidence growth and, thus, may also be a factor to influence competency development over time; and (c) time alone did not influence the growth in confidence.

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)0.006
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 score0.026
Threshold uncertainty score0.584

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
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 head0.038
GPT teacher head0.408
Teacher spread0.370 · 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

Citations3
Published2019
Admission routes1
Has abstractyes

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