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Record W2000210430 · doi:10.1177/1757975910393169

The Battle River Project: school division implementation of the health-promoting schools approach

2011· article· en· W2000210430 on OpenAlexaffabout
Doug Gleddie, Erin Hobin

Bibliographic record

VenueGlobal Health Promotion · 2011
Typearticle
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsUniversity of WaterlooMacEwan University
Fundersnot available
KeywordsHealth promotionPsychosocialMedical educationThrivingPsychologyPromotion (chess)Mental healthMedicineEnvironmental healthPublic healthNursingPolitical science

Abstract

fetched live from OpenAlex

The Battle River Project (BRP) is a school division-level intervention in rural Alberta, Canada, built upon the health-promoting schools approach to health promotion. Using self-reported school and student-level data from administrators and students, the central aim of the BRP is to examine: 'How can the school environment and health behaviours (healthy eating, physical activity and mental wellness) of children and youth be improved when a health-promoting schools model, the Ever Active Schools program, is implemented with school division support?' Evidence used to inform school level changes included students' demographic, behavioral, and psychosocial variables linked to school environment data, comprised of school demographics and administrator-assessed quality of policies, facilities, and programs related to physical activity. Each participating school and the division were provided with a tailored report of their schools' results to reflect, plan and implement for positive health behavior change. The main lesson learned was that sharing school-specific evidence can operate as a catalyst for embedding health promoting policy and practices within the school and division culture.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.398
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.123
GPT teacher head0.493
Teacher spread0.370 · 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

Citations11
Published2011
Admission routes2
Has abstractyes

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