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Record W2296933139 · doi:10.3148/cjdpr-2015-048

An Evidence-based Approach to Developing the Collaborative, Client-Centred Nutrition Education (3CNE) Framework and Practice Points

2016· letter· en· W2296933139 on OpenAlexafffundvenueabout
Catherine Morley, Deborah MacLellan, Karol A. Traviss, Theresa Cividin

Bibliographic record

VenueCanadian Journal of Dietetic Practice and Research · 2016
Typeletter
Languageen
FieldHealth Professions
TopicDietetics, Nutrition, and Education
Canadian institutionsVancouver Coastal HealthUniversity of British ColumbiaHealth PEIAcadia University
FundersUniversity of British Columbia
KeywordsPhase (matter)Conceptual frameworkMedicineMedical educationTeleconferencePerceptionNursingProfessional developmentClinical PracticePsychologyMultimediaSociologyComputer science

Abstract

fetched live from OpenAlex

PURPOSE: The purpose of this, the third phase of a 3-phase research project, was to develop guidelines for client-centred nutrition education (NE). METHODS: A 3-phase study was conducted using a progressive development design, where each phase informed the subsequent phase. Phase 1 was a national online survey of dietitians' perceptions of consumers' NE needs and preferences; results informed the Phase 2 national online survey of consumers about their NE needs and preferences. Phase 3 involved national 2-part teleconference consultations with dietitians to discuss implications of the Phase 2 findings for NE practice. This paper is the report of Phase 3. RESULTS: Discussion group participants were 22 dietitians from around Canada who had been in practice for an average of 14.5 years. Discussions resulted in the development of the Collaborative Client-Centred Nutrition Education (3CNE) conceptual framework and related Practice Points that explicate the complexity of NE practice. CONCLUSION: The 3CNE framework and Practice Points provide a means to inform precepting students and interns, and for use in planning for the professional development of practicing dietitians on providing client-centred NE.

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)0.009
metaresearch head score (Gemma)0.051
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.132
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.051
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0000.000

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 head0.246
GPT teacher head0.502
Teacher spread0.256 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations4
Published2016
Admission routes4
Has abstractyes

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