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Record W2092804969 · doi:10.1504/ijsmm.2012.051265

Does hosting the Olympic Games matter? Canada and Olympic Games images before and after the 2010 Olympic Games

2012· article· en· W2092804969 on OpenAlexaffabout
Anahit Armenakyan, Louise A. Heslop, John Nadeau, Norm O', N.A. Reilly, Irene R. R. Lu

Bibliographic record

VenueInternational Journal of Sport Management and Marketing · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of OttawaCarleton UniversityNipissing University
Fundersnot available
KeywordsPrideAdvertisingMultivariate analysis of varianceAmbush marketingGeographyPerceptionPolitical scienceDemographySocioeconomicsPsychologySociologyBusiness

Abstract

fetched live from OpenAlex

A cross-national, longitudinal study of Canadian and US respondents examined impacts of the Vancouver Olympic Games (VOG) on images of the host country, Canada, and the Olympic Games (OG) itself. Questionnaires were completed before and after the VOG on four distinct attitude objects: Canada as a vacation destination, the country/people of Canada, and the VOG as a destination and an event. Repeated measures MANOVA indicated positive impacts of the VOG but differences across the two populations. Little change was seen in OG images and interest among Americans, but major improvements occurred among Canadians. Differences in perceptions of the domestic and foreign populations towards the host country appeared, confirming earlier research on domestic bias effects. Results indicated hosting the OG contributed to improved images for Americans of Canadians, Canada as a country and as a destination. Canadians evidenced increased pride in their own country. Findings indicated mutual positive benefits for Canada and the OG images and interest.

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)0.002
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 score0.112
Threshold uncertainty score0.992

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 communication0.0000.001
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 head0.006
GPT teacher head0.245
Teacher spread0.239 · 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.

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

Citations6
Published2012
Admission routes2
Has abstractyes

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