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Bridging the distance between lifestyle and determinants of health approaches: The Circle of Health as a synthesis tool

2006· article· en· W1991600101 on OpenAlexaffabout
Terry Mitchell, Patsy Beattie-Huggan

Bibliographic record

VenueInternational Journal of Health Promotion and Education · 2006
Typearticle
Languageen
FieldHealth Professions
TopicHealth, psychology, and well-being
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsHealth promotionBridging (networking)Health carePublic relationsHealth policyHealth equityPraxisSociologyPsychologyNursingPublic healthMedicinePolitical scienceComputer science

Abstract

fetched live from OpenAlex

Abstract The rhetoric of crisis in the Canadian Health Care System has created an environment in which the central tenants of health promotion are divided into opposing camps of individual lifestyle practices versus a systems approach to health. A number of frameworks have attempted to bridge together the many components of health promotion theory, but in their design they have continued to reflect the divide between lifestyle and determinants of health perspectives. However, an innovative, collaborative, community-based workshop process has resulted in the development of a framework, called the Circle of Health, that successfully synthesises core elements of both perspectives on theory and practice. This paper situates the development of the Circle of Health in Canada's current healthcare environment and in Canada's dynamic history with health promotion theory and praxis. The authors describe the development and validation of the Circle of Health. The authors conclude with the proposition that the Circle of Health has the potential to serve as a culturally appropriate tool for bridging the distance between lifestyle and systems approaches to emerging healthcare challenges in Canada and internationally.

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)0.010
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.804
Threshold uncertainty score0.613

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.088
GPT teacher head0.450
Teacher spread0.362 · 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

Citations4
Published2006
Admission routes2
Has abstractyes

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