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Record W2089003687 · doi:10.1177/1524839911404225

Communicating Diabetes Best Practices to Clients

2011· article· en· W2089003687 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

VenueHealth Promotion Practice · 2011
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Education
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsBest practiceDiabetes mellitusMedicineInternet privacyNursingPsychologyComputer sciencePolitical science

Abstract

fetched live from OpenAlex

PURPOSE: The majority of people with type 2 diabetes do not meet dietary and physical activity recommendations. It is not well understood how diabetes educators translate diet and physical guidelines for their clients and if diabetes educators have sufficient resources to promote healthy eating and physical activity. This research addressed these questions through exploratory qualitative interviews. METHOD: A total of 13 diabetes educators who work in Alberta, Canada, were interviewed. RESULTS: The reasons for lack of client uptake of lifestyle recommendations were complex and interwoven. The strongest theme to emerge was the clients' prior knowledge and skills affecting their ability to uptake knowledge. However, educators recognized that clients are affected by social, environmental, cultural, and personal factors. CONCLUSIONS: Health system and societal issues cause a cascade effect resulting in difficulties for both educators and clients. To achieve appropriate treatment of type 2 diabetes, changes need to occur at a health systems level.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.834
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.284
GPT teacher head0.463
Teacher spread0.179 · 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