MétaCan
Menu
Back to cohort
Record W2144721389 · doi:10.1177/1527002506296548

Impact of Overwhelming Joy on Consumer Demand

2007· article· en· W2144721389 on OpenAlexaff
Jean‐Marc Falter, Christophe Pérignon, Olivier Vercruysse

Bibliographic record

VenueJournal of Sports Economics · 2007
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicSports Analytics and Performance
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsVictoryAttendancePopularityTicketAdvertisingTest (biology)EconomicsControl (management)MarketingBusinessPolitical scienceEconomic growthPoliticsManagementLaw

Abstract

fetched live from OpenAlex

In this article, the authors identify the period following a Soccer World Cup victory as a period of overwhelming joy for the winning country, and they test the impact of a World Cup victory on the demand for soccer in this country. After controlling for the main determinants of attendance, the authors find that consumer demand has positively, significantly, and durably shifted in France following the 1998 World Cup. They also show that the rise in demand is stronger in the nine cities that hosted the World Cup and that the World Cup effect persists for percentage attendance after they control for season ticket holders. Finally, the authors find supportive evidence to their claim that exceptional performance improves sport popularity when analyzing soccer attendance in several control countries, attendance for a potential substitute for soccer in France, and other episodes of overwhelming joy.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.015
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.001

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 head0.022
GPT teacher head0.248
Teacher spread0.226 · 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 source (direct Gemma or distilled Codex), 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

Citations35
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Sports EconomicsSame topicSports Analytics and PerformanceFrench-language works237,207