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Record W2132464544 · doi:10.1177/1403494810393560

From health education to healthy learning: Implementing salutogenesis in educational science

2011· article· en· W2132464544 on OpenAlexaboutno aff
Bengt Lindström, Monica Eriksson

Bibliographic record

VenueScandinavian Journal of Public Health · 2011
Typearticle
Languageen
FieldHealth Professions
TopicHealth, psychology, and well-being
Canadian institutionsnot available
Fundersnot available
KeywordsSalutogenesisHealth promotionHealth literacyHealth educationCompetence (human resources)MedicinePublic healthPsychologyHealth careNursingSocial psychologyPolitical science

Abstract

fetched live from OpenAlex

AIM: The aim is to scrutinise the concept of health education (HE) and to broaden the concept of health literacy (HL) towards a lifelong healthy learning concept. HL is a broader concept than HE. This paper dissects both the health and the education concepts, and puts them into the value system of health promotion (HP) of the Ottawa Charter (OC) using the core principles and values of HP, HL, and action competence (AC) in the light of the salutogenesis (SAL). Conceptually the salutogenic model focuses on the direction towards the healthy end of the health continuum. The salutogenic theory, based on resources and comprehensibility, manageability, and meaningfulness, can be integrated into a learning model. People are seen as active and participating subjects shaping their lives through their AC. METHOD: a combination of an analysis of the values and intentions of health promotion according to the OC combined with the existing evidence on the salutogenic approach to health, stemming from a systematic research synthesis 1992-2003 and an ongoing analysis 2004-2009 by the authors. In addition, the views from a discussion with the participants of a session in the NHPR Conference 2009 are integrated. RESULTS: The similarities and differences between the salutogenesis, the OC and healthy learning were shown in a graph. Integrating the salutogenesis in educational sciences further expands the concepts of HE and HL into healthy learning. CONCLUSIONS: The results of the discussions will further develop and strengthen the concept of healthy learning.

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)0.028
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.338
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0280.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.186
GPT teacher head0.505
Teacher spread0.320 · 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.

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

Citations114
Published2011
Admission routes1
Has abstractyes

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