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Record W2013718825 · doi:10.1108/13660750210441884

A conceptual model for a culturally responsive community‐based diabetes prevention programme

2002· article· en· W2013718825 on OpenAlex
Shirley Wong, Julia Wong, Lydia Makrides, Swarna Weerasinghe

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

VenueLeadership in Health Services · 2002
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsDalhousie University
Fundersnot available
KeywordsSociocultural evolutionConceptual frameworkConceptual modelCulturally appropriatePublic healthCulturally sensitiveGerontologyThe Conceptual FrameworkType 2 diabetesDiabetes mellitusMedicinePsychologySociologyNursingSocial psychologyComputer scienceSocial science

Abstract

fetched live from OpenAlex

Type 2 diabetes mellitus has emerged as a major public health problem in Canada. Although the prevalence of Type 2 diabetes among black people is higher than that of white people in Canada, there is no diabetes prevention programme specifically designed to address the behavioural and sociocultural influences on the development of the disease in the black communities. This paper discusses a proposed conceptual framework for the development and evaluation of a diabetes prevention programme that is culturally relevant and responsive to the black communities in Canada. The research literature and results of a recent pilot study that assessed the programming needs of four black communities provide the basis upon which the proposed framework is developed.

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)0.007
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 score0.524
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.877
GPT teacher head0.616
Teacher spread0.261 · 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