MétaCan
Menu
Back to cohort
Record W2562696226

Perceptions of Teamwork and Interprofessional Education in Undergraduate Pharmacy Students

2016· article· en· W2562696226 on OpenAlexaffabout
Shannon Del Bigio, Stephanie Mulhall, Yvonne Shevchuk, Holly Mansell

Bibliographic record

VenuePharmacy Education · 2016
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsPharmacyTeamworkInterprofessional educationMedical educationScale (ratio)PerceptionAccreditationLikert scalePsychologyDescriptive statisticsPharmacy educationMedicinePharmacy practiceFamily medicineHealth careGeographyCartographyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Background: Interprofessional education (IPE) is a mandatory component of accredited pharmacy programs in North America, yet little is known about pharmacy students’ perceptions.Objective: To survey pharmacy students and characterise their attitudes and interest toward IPE, and identify variables associated with positive perceptions of teamwork. Methods: 88.9% of pharmacy students (n=311) in one Canadian university completed a survey consisting of the Readiness for Interprofessional Learning Scale (RIPLS) and additional questions assessing student’s skills, knowledge, and interest in collaboration in September 2015. Descriptive and univariate statistics were calculated between demographic variables and survey scores to identify associations. Results: Reported interest in future interprofessional collaborative training was 94.2%. Mean rank total RIPLS scores were significantly higher in females (p=0.000) and inversely correlated to year of pharmacy, declining by an average of 23 RIPLS points with each year (p=0.000). Conclusion: Pharmacy students are interested in IPE, but their interest but declines with year of study.

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)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0020.000
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.031
GPT teacher head0.524
Teacher spread0.493 · 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 designQualitative
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

Citations5
Published2016
Admission routes2
Has abstractyes

Explore more

Same venuePharmacy EducationSame topicInterprofessional Education and CollaborationFrench-language works237,207