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Record W2544958070

Dissemination of a Physical Activity Policy on School Websites in Alberta and British Columbia

2016· article· en· W2544958070 on OpenAlexaffabout
Katie A. Weatherson, Brent Bradford, Stephen Berg, Stefanie Sloboda

Bibliographic record

VenueRevue phénEPS / PHEnex Journal · 2016
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsConcordia University of EdmontonUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsDisseminationPhysical activityFidelityInformation DisseminationPublic relationsMedical educationBusinessPolitical sciencePsychologyMedicineEngineeringComputer scienceWorld Wide Web
DOInot available

Abstract

fetched live from OpenAlex

Most children in Canada are not physically active enough to achieve health benefits. The Daily Physical Activity (DPA) policy was mandated in Alberta and British Columbia (BC) to help children accumulate more physical activity during the school day. Dissemination of DPA policy requirements is necessary to ensure that policy adoption at a provincial level is implemented at the school- and classroom-level. The purpose of this study was to examine if school boards and individual schools in Alberta and BC recognize the DPA initiative and to explore how DPA information is presented on their websites. After reviewing the policy statements for each province, provincial school websites were scanned for DPA content and it was found that the majority of school boards and individual schools are not using websites as a means to disseminate DPA initiative information. Future research should examine whether or not school boards use other systems to disseminate and monitor the implementation of such policies. This is critical to ensure implementation fidelity and effective evaluation in the future. Keywords: physical activity policy, school, children

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 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)0.007
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score0.438

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0050.002
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.009
GPT teacher head0.281
Teacher spread0.272 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueRevue phénEPS / PHEnex JournalSame topicObesity, Physical Activity, DietFrench-language works237,207