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Record W2555674447 · doi:10.1123/jpah.2016-0300

Results From Canada’s 2016 ParticipACTION Report Card on Physical Activity for Children and Youth

2016· article· en· W2555674447 on OpenAlexaboutno aff
Joel D. Barnes, Christine Cameron, Valerie Carson, Jean‐Philippe Chaput, Guy Faulkner, Katherine Janson, Ian Janssen, Roger Kramers, Allana G. LeBlanc, John C. Spence, Mark S. Tremblay

Bibliographic record

VenueJournal of Physical Activity and Health · 2016
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsnot available
Fundersnot available
KeywordsReport cardPhysical activityGovernment (linguistics)PsychologySedentary behaviorPhysical fitnessMedical educationPublic relationsPolitical scienceMedicinePhysical therapyPedagogy

Abstract

fetched live from OpenAlex

BACKGROUND: The ParticipACTION Report Card on Physical Activity for Children and Youth is the most comprehensive assessment of child and youth physical activity in Canada and provides an update or "state of the nation" that assesses how Canada is doing at promoting and facilitating physical activity opportunities for children and youth. The purpose of this paper is to summarize the results of the 2016 ParticipACTION Report Card. METHODS: Twelve physical activity indicators were graded by a committee of experts using a process that was informed by the best available evidence. Sources included national surveys, peer-reviewed literature, and gray literature such as government and nongovernment reports and online content. RESULTS: Grades were assigned to Daily Behaviors (Overall Physical Activity: D-; Organized Sport and Physical Activity Participation: B; Active Play: D+; Active Transportation: D; Physical Literacy: D+; Sleep: B; Sedentary Behaviors: F), Settings and Sources of Influence (Family and Peers: C+; School: B; Community and Environment: A-), and Strategies and Investments (Government: B-; Nongovernment: A-). CONCLUSIONS: Similar to previous years of the Report Card, Canada generally received good grades for indicators relating to investment, infrastructure, strategies, policies, and programming, and poor grades for behavioral indicators (eg, Overall Physical Activity, Sedentary Behaviors).

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.900
Threshold uncertainty score0.896

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.049
GPT teacher head0.340
Teacher spread0.291 · 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.

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

Citations76
Published2016
Admission routes1
Has abstractyes

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