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Record W1756505361 · doi:10.1080/14635240.2015.1050122

Sports day in Canada: a longitudinal evaluation

2015· article· en· W1756505361 on OpenAlexafffundabout
Lauren White, Alicia Luciani, Tanya R. Berry, Sameer Deshpande, Amy E. Latimer‐Cheung, Norm O’Reilly, Ryan E. Rhodes, John C. Spence, Mark S. Tremblay, Guy Faulkner

Bibliographic record

VenueInternational Journal of Health Promotion and Education · 2015
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsQueen's UniversityChildren's Hospital of Eastern OntarioUniversity of VictoriaUniversity of LethbridgeUniversity of AlbertaUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsDemographicsPhysical activityMedicineDemographyGerontologyPhysical therapy

Abstract

fetched live from OpenAlex

Sports Day in Canada (SDIC) is an annual event celebrating the role of sport within communities and promoting sport participation across Canada. SDIC ends a week of thousands of local sporting events and activities with a day-long national television broadcast. The objectives of this study were to evaluate whether awareness of SDIC has increased over time among Canadians (2010–2013), identify correlates of awareness, and assess changes in individuals' intentions to engage in sport. Online surveys were administered (2010: N = 863; 2011: N = 674; 2012: N = 861; 2013: N = 1447) to assess demographics, levels of physical activity and sport participation, awareness of SDIC, and intentions to participate in sport and physical activity as a result of SDIC. Analyses were conducted using independent t-tests, one-way ANOVAs, and a series of binary logistic regressions. Awareness of SDIC increased significantly from 26.9% in 2010 to 41.2% in 2013. Current sport participation (OR 1.21; 95% CI [1.11, 1.32]; OR 1.32; 95% CI [1.19, 1.47]; OR 1.26; 95% CI [1.16, 1.37]; OR 1.30; 95% CI [1.22, 1.38]) was the only significant correlate of awareness in years 2010–2013, respectively. Among people aware of SDIC, intentions to participate in sport as a result of SDIC have significantly increased over time, F(3, 1662) = 8.88, p < .001. Special events such as SDIC appear to have a role to play as part of a broader strategy to encourage sport participation among Canadians. A challenge for such events remains in reaching inactive people.

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)0.002
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 score0.684
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.145
GPT teacher head0.448
Teacher spread0.302 · 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

Citations7
Published2015
Admission routes3
Has abstractyes

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