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Record W2516112607 · doi:10.1080/14635240.2016.1217164

Sports Day in Canada: examining the benefits for event organizers (2010–2013)

2016· article· en· W2516112607 on OpenAlexafffundabout
Alicia Luciani, Lauren White, Tanya R. Berry, Sameer Deshpande, Amy E. Latimer‐Cheung, Norm O’Reilly, John C. Spence, Ryan E. Rhodes, Mark S. Tremblay, Guy Faulkner

Bibliographic record

VenueInternational Journal of Health Promotion and Education · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of British ColumbiaQueen's UniversityChildren's Hospital of Eastern OntarioUniversity of VictoriaUniversity of LethbridgeUniversity of AlbertaUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsEvent (particle physics)PsychologyApplied psychology

Abstract

fetched live from OpenAlex

The impact of large-scale, ‘mass’ community-based sport, and physical activity (PA) events on population PA has yet to be established. The enhancement of organizational capacity to support health promotion initiatives is one mechanism through which such events may be helpful. Sports Day in Canada (SDIC) is an annual, nation-wide event celebrating the role of sport within communities and promoting sport participation. Beginning in 2010, thousands of Canadian sport and PA organizations have created SDIC events each year. The objective of this study was to examine the types of organizations who participate in SDIC and to determine if and how these organizations benefit from hosting an event. Online surveys of event organizers (2010 to 2013 SDIC) were conducted. Descriptive analyses identified organization and event characteristics, and one-way ANOVAs across time assessed event organizers’ perceptions related to their overall satisfaction, benefits obtained, and challenges faced while participating in SDIC. Findings showed that organizations were mainly from the provinces of Ontario, British Columbia, and Quebec, worked with children and youth, and registered an event that was a tournament or school based. There was a significant increase in overall satisfaction [F(3, 996) = 27.26, p < .001] and benefits obtained [F(3, 1000) = 18.36, p < .001] across all four years of SDIC. One main benefit reported by organizations was an increased awareness and interest among community members in sport program(s) offered by their organization. Mass events like SDIC may help enhance organizational capacity to deliver health promotion initiatives including sport and PA programming.

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 score0.881
Threshold uncertainty score0.999

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 head0.063
GPT teacher head0.370
Teacher spread0.307 · 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

Citations4
Published2016
Admission routes3
Has abstractyes

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