MétaCan
Menu
Back to cohort
Record W2969427535 · doi:10.2478/pjph-2019-0001

Healthy Stadia Programme: innovative approach to health promotion

2019· article· en· W2969427535 on OpenAlexaboutno aff
Agnieszka Szychowska, Joanna Ruszkowska, Wojciech Drygas

Bibliographic record

VenuePolish Journal of Public Health · 2019
Typearticle
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsnot available
Fundersnot available
KeywordsHealth promotionPublic healthPopularityEuropean unionPromotion (chess)StadiumFootballBusinessPolitical scienceEconomic growthEnvironmental healthPublic relationsMedicineNursingEconomicsEconomic policy

Abstract

fetched live from OpenAlex

Abstract Sports stadia play an important role in local communities, therefore they are seen as very suitable places for various health promotion programmes. Since 2005, the Healthy Stadia programme has become a new standard for establishing policies regarding health promotion in local communities and during big international tournaments. This programme is an example of an effective setting-based approach to health promotion. Being funded by the European Union Public Health Programme, it has gained popularity in many European countries and also in Canada and Australia. Key parts of the programme include policies on tobacco and alcohol control, healthy food options and physical activity promotion on stadium grounds. Healthy Stadia programme proved to be an effective tool for promoting healthy lifestyle at many sports stadia. The programme is constantly improving and developing new projects, like Football Fans in Training (FFIT) or European Fans in Training (EuroFIT). This article provides an introduction to the programme’s main parts as well as its origins and future projects. Poland is active member of the Healthy Stadia since 2007.

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)0.020
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.499
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0200.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
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 head0.248
GPT teacher head0.498
Teacher spread0.250 · 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 designNot applicable
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
Published2019
Admission routes1
Has abstractyes

Explore more

Same venuePolish Journal of Public HealthSame topicSchool Health and Nursing EducationFrench-language works237,207