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Record W2126710226 · doi:10.3109/13561820.2012.759912

Fostering successful interprofessional teamwork through an undergraduate student placement in a secondary school

2013· article· en· W2126710226 on OpenAlexaffabout
Mariella Fortugno, Smriti Chandra, Sherry Espin, Enza Gucciardi

Bibliographic record

VenueJournal of Interprofessional Care · 2013
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsTeamworkThematic analysisMedical educationInterprofessional educationPsychologyFocus groupPresentation (obstetrics)PedagogyMedicineQualitative researchHealth careSociology

Abstract

fetched live from OpenAlex

This exploratory case study examined an interprofessional placement of undergraduate students from nutrition, nursing, early childhood education, and child and youth care who collaborated to develop and deliver four healthy-living modules to secondary school students in Canada. An inductive thematic analysis was used to describe the teamwork that occurred between students. Data collected included focus groups with undergraduate students and preceptors, undergraduate students' reflections and secondary school students' evaluations of the modules delivered. Two major themes that emerged from all data sources were "team functioning" and "shift in perspectives". The undergraduate students identified several ways that facilitated their successful and positive teamwork with one another and also expressed how the placement experience improved their interprofessional skills. Findings from this study are discussed in relation to contact theory (Allport, 1954) and self-presentation theory (Goffman, 1963). This study suggests that providing undergraduate students with interprofessional placements in an educational setting can enhance interprofessional teamwork opportunities for students of various disciplines.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.526
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.003
Open science0.0010.001
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0120.001

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 head0.450
Teacher spread0.419 · 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.

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

Citations11
Published2013
Admission routes2
Has abstractyes

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