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Record W3086700783 · doi:10.18060/23602

Integrating Social Work Into Interprofessional Education

2020· article· en· W3086700783 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAdvances in Social Work · 2020
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsCentre for Disability Prevention and RehabilitationToronto Western HospitalUniversity Health NetworkUniversity of Toronto
Fundersnot available
KeywordsInterprofessional educationSocial workCurriculumMedical educationHealth careWork (physics)Social careSociologyPedagogyPsychologyMedicineNursingPolitical scienceEngineering

Abstract

fetched live from OpenAlex

The University of Toronto Interprofessional Education Curriculum (IPE) is an exemplar of advancing interprofessional education with a focus on preparing students for practice in healthcare settings. Our paper begins with a detailed overview of the University of Toronto’s IPE program including the range of participating faculties, an overview of the curriculum including examples of learning activities, and the social work specific expectations that are embedded in the core and elective components. Following, is a discussion on mitigating the challenges and engaging opportunities associated with integrating social work in a healthcare-focused IPE program at a major Canadian University. Our exploration of mitigating challenges and engaging opportunities will span five key areas: a) Creating meaningful learning experiences for social work students; b) Implementing mandatory or elective IPE participation; c) Scheduling of IPE activities; d) The role of social work faculty in driving student involvement in IPE; and e) Strengthening social work professional leadership for IPE.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.551
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.026
GPT teacher head0.471
Teacher spread0.444 · 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