Key Elements of Sports Marketing Activities for Sports Events
Bibliographic record
Abstract
Sports marketing activities comprise people, activities, business and organisation in producing, facilitating, promoting or organising any product (as goods, services and events) for a demand of sports supporters. This theoretical paper aims to introduce and discuss the sports scheme, sports marketing mix, and sports supporters as three key elements which the sports teams need to focus on to implement sports marketing activities in sports events. By and large, sports teams have been implemented marketing principles as well as sponsorships to qualify a sports events as experience and entertainment focus on the supporters (as customers). Sports scheme refers to actors’ network, marketing tools represents the tools to plan and perform marketing activities and supporters are those who support and purchase club goods. Thus, all of them are key relevant elements to organise a sports event (as a game or match). The professionalism of the sports events has required use the sports and non-sports stakeholders' skill to help sports teams to design and provide a sports experience and amusement by means sports marketing tools to format a suitable product and service to a supporter’s audience.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".