The Role of Mega-Sports Event Interest in Sponsorship and Ambush Marketing Attitudes
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.
Bibliographic record
Abstract
Sponsorship of mega-sports events continues to be one of the most popular forms of marketing. The international appeal and reach of the Olympic Games, in particular, is amongst the top advertising and sponsorship opportunities in the world for international branding. In turn, the marketing value provided by the Olympic Games has attracted the interest of multiple sponsors in various categories, leading to competitive hosting bids and ambush marketing. This study examined mega-sports event interest as a determinant of sponsorship and ambush marketing attitudes, as well as the purchase intention of affiliated properties during the 2010 Vancouver Olympic Winter Games. In total, 619 consumer surveys were collected from four different Canadian cities. Results showed that overall consumer interest was high, and that their purchase intention was strongly influenced by level of 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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.026 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it