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Record W2320649577 · doi:10.1108/ijsms-02-2016-003

Doping scandals in professional cycling: impact on primary team sponsor’s stock return

2016· article· en· W2320649577 on OpenAlex

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

VenueInternational Journal of Sports Marketing and Sponsorship · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicDoping in Sports
Canadian institutionsWestern University
Fundersnot available
KeywordsEvent studyStock (firearms)ShareholderAbnormal returnCyclingOriginalityBusinessMarketingCorporate governanceStock exchangeFinancePsychologyEngineeringSocial psychologyHistory

Abstract

fetched live from OpenAlex

Purpose – The purpose of this paper is to examine the impact of doping scandals ( n =25) in professional cycling Grand Tour events on the primary team sponsor’s daily stock return. Design/methodology/approach – Event study methodology. Findings – Overall it was found that during the time period and events under examination in this study doping scandals had no significant impact on the primary team sponsor’s stock returns. Originality/value – There is limited research to explain the economic impact of widespread doping in cycling and its commercial shareholders. This study addresses this gap by examining the relationship between doping scandals in professional cycling and the daily stock return of the involved team’s primary sponsor.

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)0.018
metaresearch head score (Gemma)0.005
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 score0.030
Threshold uncertainty score0.637

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0180.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.021
GPT teacher head0.343
Teacher spread0.322 · 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