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Record W2169100058 · doi:10.3402/meo.v10i.4387

Creating a Culture for Interdisciplinary Collaborative Professional Practice

2005· article· en· W2169100058 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.

Bibliographic record

VenueMedical Education Online · 2005
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsMemorial University of NewfoundlandWestern University
Fundersnot available
KeywordsGeneral partnershipMultidisciplinary approachHealth careMedical educationCitizen journalismNursingCollaborative modelHealth professionalsMedicineKnowledge managementSociologyBusinessPolitical scienceComputer science

Abstract

fetched live from OpenAlex

The future of the health system is dependent on health professionals re-tooling the way we practice together. No longer can a multi-disciplinary model support the complex health needs of many clients nor can any one-health profession have all the knowledge needed to provide total patient-centred care. However, our current education and health systems are structured around a multidisciplinary model of practice with physicians or nurse practitioners as decision-makers and rarely are clients included in care planning. True interdisciplinary practice is defined as a partnership between a team of health professionals and a client in a participatory, collaborative and coordinated approach to shared decision-making around health issues, requires a revamping of how future health professionals are educated and how the system can accommodate shared decision-making. A client-centered collaborative professional practice model is proposed in this paper as a means for fostering and facilitating the culture for this change.

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)0.001
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.629
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.020
GPT teacher head0.535
Teacher spread0.515 · 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