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Record W1968558386 · doi:10.1177/0038038511413414

Public Opinion in Host Olympic Cities: The Case of the 2010 Vancouver Winter Games

2011· article· en· W1968558386 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSociology · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPublic opinionPoliticsMacroEvent (particle physics)Survey data collectionSociologyArchitecturePolitical scienceMedia studiesAdvertisingGeographyBusinessLaw

Abstract

fetched live from OpenAlex

Olympic analyses typically depend heavily on perspectives built from macro processes characteristically rooted in political economy. Using survey data of city residents gathered at six different points in time during the Vancouver 2010 Winter Olympics, this article proposes a focus on what happens within the host city during the Games. While the Olympics were the centre of much debate and controversy before the Games, the data show that attitudes towards the Games became much more favorable thereby providing hard evidence that the Olympics had an experiential urban impact. Regression models revealed that attending free unticketed events and supporting the Liberal party in the last provincial election were the best predictors of positive attitudes towards the Games. It is concluded that the Olympics represent a form of public policy which generates responses related to socio-political factors while also being an interactional event transforming local attitudes towards the Games.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.410
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.108
GPT teacher head0.324
Teacher spread0.216 · 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