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Record W2292214643 · doi:10.1177/1527002515626221

Estimating the Value of Medal Success in the Olympic Games

2016· article· en· W2292214643 on OpenAlex
Brad R. Humphreys, Bruce K. Johnson, Daniel S. Mason, John C. Whitehead

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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Sports Economics · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Environmental Valuation
Canadian institutionsUniversity of Alberta
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsMedalContingent valuationWillingness to payPrideGovernment (linguistics)Value (mathematics)Valuation (finance)EconomicsMarketingAdvertisingGeographyPolitical scienceBusinessStatisticsMathematicsMicroeconomicsAccounting

Abstract

fetched live from OpenAlex

We estimate Canadians’ willingness to pay (WTP) for medals won by Team Canada in the 2010 Winter Olympic Games using data from contingent valuation method (CVM) surveys of nationally representative samples conducted before and after the Games. The results permit an assessment of Own the Podium, a government program designed to increase Canada’s medal count. International prestige and national pride are important determinants of WTP. The results are sensitive to cost and scope, respondents’ beliefs about the effectiveness of the program, as measured by expected medal count. WTP estimates suggest that Own the Podium generated benefits above its cost to a degree unique in the growing literature of sport CVM studies.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.257

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.042
GPT teacher head0.215
Teacher spread0.173 · 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