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Transferring an innovation in food and lifestyle education: adaptation of a French obesity prevention methodology in Australia (262.2)

2014· article· en· W1529331061 on OpenAlexaff
Carol Anne Hartwick, John Coveney, David N. Cox, Samantha B. Meyer, Roger Sue

Bibliographic record

VenueThe FASEB Journal · 2014
Typearticle
Languageen
FieldHealth Professions
TopicDietetics, Nutrition, and Education
Canadian institutionsUniversity of Waterloo
FundersFlinders UniversityCommonwealth Scientific and Industrial Research Organisation
KeywordsCommonwealthPublic relationsHumanitySociologyTasteAdaptation (eye)Knowledge transferPolitical sciencePsychologyManagementLaw

Abstract

fetched live from OpenAlex

Property of the UNESCO Patrimony of Humanity, the French food model (FFM) is founded upon taste, social conviviality and structure. EPODE, a community‐based obesity prevention program promoting the FFM in France, was developed in 2003 and has been disseminated globally, including to Australian communities. There is no literature informing on the conditions for such cross‐cultural methodology transfers. The objective of this study is to examine French and Australian cultural contexts (food habits, environments, etc.), how the EPODE and OPAL programs function within them, and to understand the conditions for transfer. Qualitative, case study approaches used focus groups, semi‐structured interviews, and observations in EPODE and OPAL communities in France and Australia with program coordinators, implementers, children and families. The findings show that, although the holistic food principles behind EPODE gave ground for its importation, they did not transfer to OPAL. French study participants hold unquestioned assumptions toward their own cultural particularities and therefore the French food principals were not included in the formalized EPODE methodology. OPAL used Australian, nutrition‐focused principals without question, in line with Australian evidence. Unexamined assumptions of one’s own culture may be a barrier to cross‐cultural methodology transfers and thus cultural principals should be examined, defined and taken into account. Grant Funding Source : Supported by Flinders University, the Commonwealth Scientific and Industrial Research Organisation

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.103
Threshold uncertainty score0.261

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.261
GPT teacher head0.460
Teacher spread0.199 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2014
Admission routes1
Has abstractyes

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Same venueThe FASEB JournalSame topicDietetics, Nutrition, and EducationFrench-language works237,207