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Record W2625714692

Physical activity policy and legislation in North American schools: A review

2011· review· en· W2625714692 on OpenAlexaffabout
Meagan Dargavel, Jennifer Robertson‐Wilson, Pamela J. Bryden, Billie Gilles-Corti

Bibliographic record

VenueJournal of Exercise, Movement, and Sport · 2011
Typereview
Languageen
FieldMedicine
TopicInjury Epidemiology and Prevention
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsPsycINFOLegislationPolitical scienceGovernment (linguistics)CINAHLInclusion (mineral)Public policyPublic administrationPublic relationsMEDLINEPsychologyLawSocial psychology
DOInot available

Abstract

fetched live from OpenAlex

In Canada, 7% of youth are reaching recommended levels of physical activity (PA; AHKC, 2011). One way PA can be promoted is through government mandated school policy legislation (Schmid et al., 2006). The current study is a review that examines the evaluation of school-based PA policies for youth over the past 10 years. Articles included had to meet the following criteria: be an original research study published in an academic journal in English, examine or be related to PA behaviour, apply to a youth population in school setting, highlight a law, bill or policy reflective of PA based on government initiatives, and involve the evaluation of this legislated policy. After searching five databases, PubMed (625 hits), Medline (184 hits), PsycInfo (23 hits), CINAHL (107 hits), and Sport Discus (571 hits), 12 articles were selected for inclusion. All policies came from the United States; 7 highlighted the federal Children Reauthorization Act and 5 highlighted state level policies for safe routes to schools, PA only initiatives, or PA and other initiatives (e.g., nutrition). Eight articles evaluated policy implementation, 3 examined policy implementation and impact, and 1 article considered only policy impact. Although at least 162 bills have been enacted recently in the U.S. related directly to physical education (Eyler et al., 2010), few policies are evaluated for their actual impact in the academic literature. Implications for policy makers and researchers will be discussed.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.972
Threshold uncertainty score0.767

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.385
Teacher spread0.336 · 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 designOther design
Domainnot available
GenreReview

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
Published2011
Admission routes2
Has abstractyes

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