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Record W4318814094 · doi:10.1504/ijsmm.2022.128623

Investigating the sport participation legacy of a major event: the case of one multi-use sport facility

2022· article· en· W4318814094 on OpenAlexaff
Kevin Wilson, Patti Millar

Bibliographic record

VenueInternational Journal of Sport Management and Marketing · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of WindsorUniversity of Waterloo
Fundersnot available
KeywordsEvent (particle physics)Sport managementBusinessEvent managementSports marketingAdvertisingMarketingPublic relationsPolitical scienceCritical success factor

Abstract

fetched live from OpenAlex

Newly constructed sport facilities are often a staple of hosting major sport events. However, these facilities often become underutilised and present a significant financial burden for host communities. With demonstrated relationships between facility access and physical activity levels, sport facilities that are built with intended community use following the event are perhaps a likely mechanism to foster a sport participation legacy. The purpose of this study was to investigate the sport participation legacy associated with one multi-use sport facility built for a major sport event. Interviews with key stakeholders and an analysis of program documents revealed that the location and design of the facility itself, the formal agreements between the facility operating groups, and the breadth of sport and recreation programming offered at the facility all contributed to fostering a post-event sport participation legacy. Future research directions and practical implications are presented.

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)0.007
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score0.289

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
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 head0.051
GPT teacher head0.334
Teacher spread0.282 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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