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Record W4285130886 · doi:10.1123/cssm.2021-0048

Can You Smell What “The Rock” Is Cooking? Exploring a Potential Canadian Football League–Xtreme Football League Partnership

2022· article· en· W4285130886 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCase Studies in Sport Management · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicSports Analytics and Performance
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsLeagueFootballGeneral partnershipRevenuePolitical scienceBusinessPublic relationsAdvertisingFinanceLaw

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.848
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.120
GPT teacher head0.260
Teacher spread0.140 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it