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Record W2107243475 · doi:10.1093/heapro/dat073

Health promotion in Swedish schools: school managers' views

2013· article· en· W2107243475 on OpenAlexaboutno aff
Louise Persson, Katarina Haraldsson

Bibliographic record

VenueHealth Promotion International · 2013
Typearticle
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsnot available
Fundersnot available
KeywordsHealth promotionCharterPromotion (chess)Public relationsHealth educationQualitative researchMedical educationContent analysisPsychologyMedicineNursingSociologyPublic healthPolitical scienceSocial science

Abstract

fetched live from OpenAlex

Schools are recognized worldwide as settings for health promotion, and leadership has a bearing on schools' ability to be health promoting. School managers have a great influence on what is prioritized in school, which in turn affects students' school performance and health. There is lack of research into school managers' views on health promotion, and what they consider to be central to health promotion. The aim was therefore to examine school managers' views about what health promotion in schools include. An explorative design, qualitative content analysis, was performed. In-depth interviews were conducted with all 13 school managers of a middle-sized municipality in central Sweden. The analysis had both manifest and latent content and three categories: 'Organization and Collaboration', 'Optimize the arena' and 'Strengthen the individual', and 10 subcategories emerged. The theme, 'Opportunities for learning and a good life', describes the latent content of these categories. Taking into account the views of school managers are important because these views help form a more complete picture of how school managers work with health promotion and what is needed to enhance health promotion to improve students' opportunities for learning and a good life. The Ottawa Charter for Health promotion is thereby transformed into practice.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.702
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0070.008

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 head0.128
GPT teacher head0.493
Teacher spread0.364 · 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; both teacher heads agree on what is shown here.

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

Citations23
Published2013
Admission routes1
Has abstractyes

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