Does Star Power Boost Soccer Match Attendance? Empirical Evidence from the Chinese Soccer League
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
The purpose of this paper is to examine the impact of star power on game attendance. The essential aspect of demand for sport events is fan interest, which can be shown through match attendance, watching contests, buying team-related products, and following a team on media. To conduct this study all attendance data from the 2015, 2016, and 2017 seasons of the Chinese Super League were used to understand which factors impacted spectator attendance. Results of this study found that high profile teams, traditional rivalries or derbies, and famous foreign players can positively impact attendance at both home and away games, while members of the Chinese National Team had a negative impact on attendance. These results will give team owners a better understanding of Chinese soccer fans’ interests, ultimately leading to maximizing profit generation in ticket and merchandise sales. Implications for both sport managers and scholars are discussed.
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 | 0.001 | 0.000 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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