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Record W2800655832 · doi:10.1177/0017896918770215

Health education and health promotion revisited

2018· article· en· W2800655832 on OpenAlexaboutno aff
Don Nutbeam

Bibliographic record

VenueHealth Education Journal · 2018
Typearticle
Languageen
FieldHealth Professions
TopicHealth Literacy and Information Accessibility
Canadian institutionsnot available
Fundersnot available
KeywordsHealth promotionPublic relationsHealth educationHealth communicationHealth policyPublic healthHRHISHealth literacyInternational healthSocial determinants of healthCharterPolitical scienceHealth careMedicineNursing

Abstract

fetched live from OpenAlex

Thirty years ago, the World Health Organization (WHO) Ottawa Charter for Health Promotion created a paradigm shift in addressing major public health challenges. Traditional approaches to health education focused on personal health ‘risks’ and lifestyle choices were quickly overshadowed by the attention given to more comprehensive policy and environmental interventions. Since that time health education has evolved in content, media use and sophistication of communication to fulfil a wider range of purposes. The concept of health literacy has been useful in sustaining this change. As the tools for communication have been transformed by digital communication, and the marketplace for communication has become more crowded and complex, health education has continued to evolve to reflect these changes, enabling people to navigate competing sources of information and to engage meaningfully with social and economic determinants of health. Equitable access to quality health education and lifelong learning remain the cornerstones of modern health promotion.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.003
Science and technology studies0.0040.031
Scholarly communication0.0130.014
Open science0.0010.007
Research integrity0.0160.019
Insufficient payload (model declined to judge)0.0110.001

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 head0.123
GPT teacher head0.560
Teacher spread0.436 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations110
Published2018
Admission routes1
Has abstractyes

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