Determinants of Regional Sport Network Television Ratings in MLB, NBA, and NHL
Bibliographic record
Abstract
This paper examines the determinants of live game Regional Sport Network (RSN) average annual ratings in three major North American professional sport leagues: Major League Baseball (MLB), the National Basketball Association (NBA), and the National Hockey League (NHL). A conceptual model of the determinants of club RSN ratings is constructed based on a marketing management framework. Five categories of determinants are identified: Product-Club, Product-Player, Brand-Club, Brand-Player, and Place. Data were collected over a 12-year period (1999–2011) for a total of 46 independent variables. The list of independent variables was reduced to 16 factors and a proxy variable for each of the factors identified. Univariate and multivariate analyses were undertaken. Strong support for the each of the five categories in the conceptual model was found for the pooled sample of all three leagues. Results at the individual league level revealed league differences in the relative importance of individual variables. Implications for future research and practice are presented.
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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 | 0.003 | 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 | 0.000 |
| 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 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".