MétaCan
Menu
Back to cohort
Record W2462716302 · doi:10.1136/bjsports-2016-096325

The Copenhagen Consensus Conference 2016: children, youth, and physical activity in schools and during leisure time

2016· article· en· W2462716302 on OpenAlexaff
Jens Bangsbo, Joan L. Duda, Charles H. Hillman, Lars Bo Andersen, Maureen R. Weiss, Craig A. Williams, Taru Lintunen, Ken Green, Peter Riis Hansen, Patti-Jean Naylor, Ingegerd Ericsson, Glen Nielsen, Karsten Froberg, Anna Bugge, Jesper Lundbye‐Jensen, Jasper Schipperijn, S. Dagkas, Sine Agergaard, Jesper von Seelen, Charlotte Østergaard, Thomas Skovgaard, Henrik Busch, Anne‐Marie Elbe

Bibliographic record

VenueBritish Journal of Sports Medicine · 2016
Typearticle
Languageen
FieldHealth Professions
TopicSports and Physical Education Research
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsRecreationInclusion (mineral)Presentation (obstetrics)Physical activityVariety (cybernetics)PsychologyPhysical educationStatement (logic)GerontologyMedical educationApplied psychologyPedagogyMedicinePhysical therapyPolitical scienceSocial psychologyComputer science

Abstract

fetched live from OpenAlex

From 4 to 7 April 2016, 24 researchers from 8 countries and from a variety of academic disciplines gathered in Snekkersten, Denmark, to reach evidence-based consensus about physical activity in children and youth, that is, individuals between 6 and 18 years. Physical activity is an overarching term that consists of many structured and unstructured forms within school and out-of-school-time contexts, including organised sport, physical education, outdoor recreation, motor skill development programmes, recess, and active transportation such as biking and walking. This consensus statement presents the accord on the effects of physical activity on children's and youth's fitness, health, cognitive functioning, engagement, motivation, psychological well-being and social inclusion, as well as presenting educational and physical activity implementation strategies. The consensus was obtained through an iterative process that began with presentation of the state-of-the art in each domain followed by plenary and group discussions. Ultimately, Consensus Conference participants reached agreement on the 21-item consensus statement.

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)0.184
metaresearch head score (Gemma)0.186
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.184
Threshold uncertainty score0.971

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1840.186
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0050.006
Bibliometrics0.0060.005
Science and technology studies0.0040.003
Scholarly communication0.0080.004
Open science0.0090.012
Research integrity0.0140.011
Insufficient payload (model declined to judge)0.0060.002

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 head0.034
GPT teacher head0.379
Teacher spread0.345 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations148
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueBritish Journal of Sports MedicineSame topicSports and Physical Education ResearchFrench-language works237,207