MétaCan
Menu
Back to cohort
Record W1979343030 · doi:10.1080/09581590802443596

Health education–the case for rehabilitation

2008· article· en· W1979343030 on OpenAlexaboutno aff
Jackie Green

Bibliographic record

VenueCritical Public Health · 2008
Typearticle
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsnot available
Fundersnot available
KeywordsHealth promotionHealth educationEmpowermentCharterHealth policySocial determinants of healthPublic relationsInternational healthHealth belief modelHealth equityPolitical sciencePublic healthSociologyMedicineNursing

Abstract

fetched live from OpenAlex

The emergence of health promotion in the 1980s was a direct response to critiques of health education which centred on its victim-blaming orientation and a growing appreciation of the need to address the wider determinants of health and health-related behaviour. This paper argues a priori that such critiques centre on a preventive model of health education and overlook its broader potential. It reviews a number of alternative models of health education and locates these within the core values of equity and empowerment which underpin the Ottawa Charter and subsequent WHO documents. It suggests that, despite the rhetoric of health promotion, practice frequently remained focused on individual behaviour change and the use of persuasive health education. The move to health promotion effectively stifled further debate about the broader role of health education in achieving individual empowerment and social change. This paper calls for a broader conceptualisation of health education–the New Health Education–and concludes that this should be the driving force behind 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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Not applicablelow
gptno category
Domain: not available · Genre: Commentary
About the Canadian research system: no · About a Canadian topic: no
Not applicablemedium
models agreeAgreement compares identical category sets and study designs across arms.

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)0.020
metaresearch head score (Gemma)0.020
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.021
Threshold uncertainty score0.107

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.020
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0120.083
Scholarly communication0.0130.015
Open science0.0020.011
Research integrity0.0200.019
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 head0.205
GPT teacher head0.559
Teacher spread0.354 · 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

Labeled directly by 2 models reading the full record.

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

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

Citations13
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueCritical Public HealthSame topicSchool Health and Nursing EducationFrench-language works237,207