Can You Smell What “The Rock” Is Cooking? Exploring a Potential Canadian Football League–Xtreme Football League Partnership
Bibliographic record
Abstract
The COVID-19 pandemic forced Canadian Football League (CFL) commissioner Randy Ambrosie to cancel the League’s 2020 season, and given CFL teams’ financial dependence on gate and game-day revenues, the League had suffered substantial financial losses. The pandemic also caused the Xtreme Football League (XFL) to fold five games into its 2020 season; however, the XFL was purchased by an ownership group led by Dwayne “The Rock” Johnson, with plans to resume play in 2022. Shortly thereafter, the CFL and XFL jointly announced that they would explore the possibility of partnering to grow the game of football and their respective leagues. This case challenges students to determine the best option for the CFL and commissioner Ambrosie moving forward by completing a Porter’s value chain analysis for both leagues. This analysis will help students to make an informed, evidence-based decision about how well the two leagues align with one another. While there are several benefits to a potential partnership, there are also challenges that must be overcome if some type of partnership with the XFL is to be considered.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.012 | 0.006 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".