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Record W2174758843 · doi:10.1111/cars.12087

Exploring an Olympic “Legacy”: Sport Participation in Canada before and after the 2010 Vancouver Winter Olympics

2015· article· fr· W2174758843 on OpenAlexafffundabout
Thomas Perks

Bibliographic record

VenueCanadian Review of Sociology/Revue canadienne de sociologie · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of Lethbridge
FundersCanadian Institutes of Health Research
KeywordsHumanitiesGeographyPolitical scienceArtSociology

Abstract

fetched live from OpenAlex

Guided by the notion of a trickle‐down effect, the present study examines whether sport participation in Canada increased following the 2010 Winter Olympics in Vancouver. Comparing rates of sport participation prior to and following the Games using nationally representative data, the results suggest that the Olympics had almost no impact on sport participation in Canada, although there does appear to be a modest “bounce” in sport participation in the Vancouver area immediately following the Vancouver Games. As such, if the trickle‐down effect did occur, the analysis suggests that the effect was locally situated, short‐lived, and small. Inspirée par la notion de l'effet de retombée, la présente étude examine si la participation sportive au Canada a augmenté à la suite des Jeux olympiques d'hiver de 2010 à Vancouver. Les résultats de la comparaison des taux de participation au sport avant et après les Jeux utilisant des données représentatives au niveau national, suggèrent que les Jeux olympiques ont eu pratiquement aucun impact sur la participation sportive au Canada, même s'il semble y avoir un faible “rebond” dans la participation au sport dans la région de Vancouver immédiatement après les Jeux. Cela étant, si l'effet de retombée s'est produit, l'analyse suggère qu'il a été modeste et de courte durée et on l'a ressenti seulement localement.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.227
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.137
GPT teacher head0.306
Teacher spread0.169 · 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.

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

Citations19
Published2015
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Review of Sociology/Revue canadienne de sociologieSame topicSport and Mega-Event ImpactsFrench-language works237,207