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Record W4386604027 · doi:10.1093/eurpub/ckad133.145

O.3.1-8 The western research hub for physical activity and health: answering the World Health Organization’s call to implement the global action plan on physical activity

2023· article· en· W4386604027 on OpenAlexaff
Jane S Thornton, Reilly Kristen

Bibliographic record

VenueEuropean Journal of Public Health · 2023
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsFowler Kennedy Sport Medicine ClinicWestern University
Fundersnot available
KeywordsPublic relationsCall to actionAction planWork (physics)BusinessService (business)Political scienceMarketingManagementEngineering

Abstract

fetched live from OpenAlex

Abstract Purpose Physical activity provides a multitude of health benefits yet only half of Canadians meet national physical activity guidelines for health. In response to the global epidemic of physical inactivity, the World Health Organization (WHO) created the Global Action Plan on Physical Activity (GAPPA) to help countries prioritize decreasing physical inactivity. In 2021, we formed the Western Research Hub for Physical Activity and Health (The Hub) to respond to this call to action from the WHO. Our purpose is to advocate for and implement meaningful, sustainable and culturally relevant physical activity opportunities within our community and beyond. Our team is comprised of 30 junior and senior university scholars and a Community Advisory Council of local organization representatives and patient partners who inform and co-design our work. Project description Through ongoing discussions with our members, we learned that while the GAPPA provides a clear roadmap, funding for such implementation projects is scarce and researchers, community organizations, and policymakers feel they do not have the necessary expertise to undertake implementation or scale-up projects. To address these gaps, we created The Hub’s Implementation Support Service. This service provides those working on GAPPA-related projects with support from our team in the form of: implementation resources (frameworks and toolkits); advice from implementation scientists; regular meetings to troubleshoot implementation barriers; networking support to connect with relevant partners; and financial support (seed grants worth $5000 CAD). Funding applications are reviewed and selected by a committee of researchers, community organizations, and patient partners. The Implementation Support Service will undergo a process and impact evaluation by understanding perceptions of those delivering and receiving the implementation service, as well as determining the short- and long-term effects of the implementation projects we support. Conclusions The Western Research Hub for Physical Activity and Health is the first and only collective of its kind aimed directly at addressing and implementing the WHO’s GAPPA framework by providing a centralized access point for implementation seed grants and services. By providing resources and facilitating access to physical activity, our Hub can support more individuals staying active for more of their lives, with implications for population-level health.

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)0.010
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.441
Threshold uncertainty score0.798

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.016
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0070.003
Open science0.0020.006
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.4410.262

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 head0.834
GPT teacher head0.704
Teacher spread0.130 · 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.

Study designNot applicable
Domainnot available
GenreCommentary

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

Citations1
Published2023
Admission routes1
Has abstractyes

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