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Record W3161249188 · doi:10.3389/fspor.2021.655579

Sport Events for Sport Participation: A Scoping Review

2021· review· en· W3161249188 on OpenAlex
Georgia Teare, Marijke Taks

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFrontiers in Sports and Active Living · 2021
Typereview
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsContext (archaeology)Identification (biology)Systematic reviewPublic relationsGrey literatureApplied psychologyPolitical sciencePsychologyMEDLINEGeography

Abstract

fetched live from OpenAlex

Research on sport participation impacts from sport events has been sporadic. This scoping review assesses the current state of literature that addresses impacts, legacies, and leveraging of sport events for sport participation outcomes and the gaps in terms of study context and research designs. Two systematic approaches of article identification were performed: a traditional database search and a systematic manual search. Studies on sport participation outcomes from events mainly focused on mega sport events and adult populations, with the majority employing cross-sectional data and quantitative methods. The use theoretical of frameworks is limited and inconsistent. There is a need for longitudinal investigations, as well as more focus on youth populations, participant events, and smaller-sized events to advance the research agenda for sport participation outcomes from sport events.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.958
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
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 head0.068
GPT teacher head0.417
Teacher spread0.350 · 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