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Record W4225159420 · doi:10.1093/heapro/daac050

It takes a community: exploring APPLE Schools’ impact within and beyond school walls in Canada

2022· article· en· W4225159420 on OpenAlexafffundabout
Danielle Klassen, Claudine Champion, Genevieve Montemurro, Jenn Flynn, Kim D. Raine, Kate Storey

Bibliographic record

VenueHealth Promotion International · 2022
Typearticle
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsUniversity of Alberta
FundersPublic Health Agency of CanadaWomen and Children's Health Research Institute
KeywordsContext (archaeology)Thematic analysisHealth promotionPsychological interventionPromotion (chess)Qualitative researchMedical educationInterviewCommunity healthPsychologyPedagogySociologyMedicineNursingPublic healthPolitical scienceGeographySocial science

Abstract

fetched live from OpenAlex

Childhood is a critical stage to develop healthy behaviours, and the school years are an important developmental period in which children are learning and growing. School-based health promotion interventions are increasingly using the comprehensive school health (CSH) approach that has been found effective at improving health behaviours, while adapting to the school and community context to create and sustain a healthy school culture. The interconnected environments of school, home and community are key to the CSH approach, however, there is minimal research that has been conducted to determine the impact at the community-level. This research used a qualitative multiple case study design to explore the influence of a school-based health promotion intervention, APPLE Schools, on the school and community environments from the perspectives of school staff in Alberta, Canada. Twenty-two participants participated in walking interviews in five schools. The walking interview approach combined interviewing and field observation and empowered participants to share their local expertise and knowledge within the context of school and community environments. Interviews were transcribed and analysed using an inductive thematic approach. Four themes were identified: APPLE schools look different, APPLE Schools build champions, APPLE Schools builds community partnerships and APPLE Schools honours community culture. Health promotion practice in schools was uniquely adapted based on strengths and needs of each school and was broadly influenced by the community outside of school walls. In sum, it was found that school-based health promotion reaches beyond school walls and can influence the broader community environment.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity, 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 score0.133
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.169
GPT teacher head0.451
Teacher spread0.282 · 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

Citations5
Published2022
Admission routes3
Has abstractyes

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