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Record W300491129

Marketing Research at the Vancouver 2010 Winter Olympic Games

2010· article· en· W300491129 on OpenAlexaboutno aff
Norm O’Reilly, Benoît Séguin

Bibliographic record

VenueProceedings: International Symposium for Olympic Research · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsCommonwealthEvent (particle physics)GeographyAmbush marketingAdvertisingPolitical scienceMedia studiesHistorySociologyBusinessLaw
DOInot available

Abstract

fetched live from OpenAlex

Introduction As researchers, opportunities to collect qualitative and quantitative data at major events that have vast reach and global following (i.e., 'mega-events') are rare, challenging and resource intensive in nature. This, coupled with the facts that (1) the existing number of true sport mega-events (e.g., Olympic Games, FIFA World Cup, Wimbledon, the Masters, Grey Cup, Commonwealth Games, Super Bowl) is low in relation to the cities seeking to host such events and (2) the resources for research tend to be more readily available around the hosting of a mega-events, renders the occurrence of a mega-event in your home country or region highly important for researchers. Depending on the nature of one's research and the specific mega-event in question, the famous phrase of 'a once in a lifetime opportunity' may fit this situation. Although the first modern Olympic Games were held in 1896, Canada did not host until the Montreal Olympic Summer Games in 1976. Since Montreal, Canada has hosted the Olympic Winter Games twice, in Calgary in 1988 and Vancouver in 2010. Prospects of a second hosting of the Summer Games remain far off as best, following two failed bids by the city of Toronto for the 1996 and 2008 Summer Games. And although speculation currently exists about a Quebec City bid for an upcoming Winter Games for 2022 or perhaps 2026, a competitive bid process would have to be overcome. Some simple math on Canada demonstrates the challenges facing an Olympic researcher. If one considers that a typical researcher career post-doctorate is 30 years in length, then any Canadian researcher who completed his or her doctorate before 1946 or after 1977 would not have had the opportunity to do research on an Olympic Summer Games hosted in Canada. If the researcher's interests were 'niched' towards winter sport, then a researcher who completed his or her doctorate prior to 1958 would not have had the opportunity, although those whose doctorates were completed between 1990 and 2018 would have had access to the Winter Olympic Games twice. Thus, as with any rare opportunity, planning and understanding the nature of such an event is required if one is to maximize the benefits of such opportunity. In the context of hosting an Olympic Games, interest from the public, governments and corporations are high. When considering the amount of public dollars invested in such an event, sport (event) management research becomes essential for a number of reasons including evaluation, policy, legacy and learning. The uniqueness and the scope of an event like Olympic Games also provide access to funding sources that may not otherwise be available for researchers. In this case, timing becomes essential as the Games only last 16 days. This limited timeline requires researchers to properly time pre-, post- and during Games data collections. With this reality as the context, this paper reports on the sport marketing research projects undertaken by the authors during the 2010 Winter Olympic and Paralympic Games. Mega-Events Although there is little written in peer-reviewed sources on mega-events, (1) it is established that they play an important role in an emerging, media-based global culture. (2) Similarly, it is established that mega-events provide vast and influential reach to corporate sponsors and media partners which in turn generates considerable amount of resources. (3) Further, the Product-Country-Image (PCI) literature has demonstrated that major events can positively affect a country's image. (4) Thus, from a research perspective, it is clear that mega-events offer a context that could be described as 'unique' for research learning, methods and analysis. Research at Vancouver 2010 As three researchers, the authors were involved with a variety of research projects related to the Vancouver 2010 Winter Olympic Games organized under four themes (or streams) of research. First, is a line of research related to a large government-funded project (Social Sciences and Humanities Research Council of Canada) related to country images and the Olympic Games' ability to improve both global tourist intentions and sponsor images. …

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)0.024
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.183
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0240.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.084
GPT teacher head0.425
Teacher spread0.341 · 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.

Study designNot applicable
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

Citations0
Published2010
Admission routes1
Has abstractyes

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