MétaCan
Menu
Back to cohort
Record W2769002255

DPT Student Perceptions of the Physical Therapist Assistant's Role: Effect of Collaborative Case-Based Learning Compared to Traditional Content Delivery and Clinical Experience.

2017· article· en· W2769002255 on OpenAlexaffabout

Bibliographic record

VenuePubMed · 2017
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsQueen's University
Fundersnot available
KeywordsIntervention (counseling)CurriculumMedical educationMedicinePerceptionPsychologyInterprofessional educationCollaborative learningNursingPedagogyHealth care
DOInot available

Abstract

fetched live from OpenAlex

First-year Canadian occupational therapy students (n=27) rated their knowledge of and cultural/emotional responses to cultural safety and Indigenous health prior to and following an educational intervention led by a trained Indigenous educator. At post-intervention, students were also asked to comment on their learning experience. Pilot data of 40% of the class were analyzed using nonparametric approaches proposed by Koller and colleagues; qualitative data were explored using conventional methods. The majority of participant ratings reflected a perceived increase in knowledge and cultural/emotional responses, indicative of positive change following intervention. Student comments about their learning were in keeping with the positive findings. Although our sample size was small and our study examined perceived knowledge acquisition, preliminary results were consistent with related literature.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.029
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
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 head0.102
GPT teacher head0.457
Teacher spread0.355 · 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 source (direct Gemma or distilled Codex), 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

Citations16
Published2017
Admission routes2
Has abstractyes

Explore more

Same venuePubMedSame topicInterprofessional Education and CollaborationFrench-language works237,207