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Record W2105623833 · doi:10.1080/13561820802012950

A new model for collaborative continuing professional development

2008· article· en· W2105623833 on OpenAlexafffund
Dianne Delva, Lewis Tomalty, Kathy Macrae, Patricia A. Payne, Eleanor Plain, Wendy Noeline Rowe

Bibliographic record

VenueJournal of Interprofessional Care · 2008
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsHealth CanadaHome and Community Care Support ServicesQueen's University
FundersHealth CanadaGovernment of Canada
KeywordsParticipatory action researchCollaborative modelCitizen journalismContinuing professional developmentCollaborative CareNursingPrimary careMedical educationProfessional developmentMedicineKnowledge managementSociologyPolitical scienceFamily medicineComputer science

Abstract

fetched live from OpenAlex

For collaborative patient-centered practice models to develop, improved collaboration in the workplace is needed. In this project we aimed to create a model of continuing professional development (CPD) using a case based approach that would allow the exchange of information between primary health care providers in the community. Over 60 participants from community care sectors including physicians, nurses and administrators participated in a planning group and two consultation workshops. Using participatory action research methods, themes contributing to and inhibiting communication, collaboration and coordination of care in the community were identified. Recommendations for solutions were prioritized and implemented. Evaluations suggest that the case scenario and consultation approach successfully focused participants to address relevant local issues to improve collaboration among community providers.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.301
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.044
GPT teacher head0.432
Teacher spread0.387 · 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 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

Citations15
Published2008
Admission routes2
Has abstractyes

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