Thrill and Agony at Ultimate Fighting Championship
Bibliographic record
Abstract
This case study seeks to make evident the imperative of better stakeholder management for contemporary competition by examining the evolving corporate social responsibility (CSR) strategies at the Ultimate Fighting Championship (UFC), a world leading sports entertainment firm, over its 29-year history. Specifically, this case study illuminates that while CSR is becoming increasingly understood as indispensable for a firm’s overall strategy, corporate strategists need to design and implement CSR with dual vigilance that, (1) stakeholders’ expectations on CSR would heighten over time and (2) internal stakeholders’ needs, though often trivialized in many CSR strategies, need authentic accommodations that move beyond lip service. In addition to unpacking the issues of CSR (and) authenticity for the UFC’s stakeholder management, this case study also draws on insights gleaned from mainstream stakeholder management and CSR research and provides evidence-based analysis and recommendations for enhancing firms’ CSR strategies.
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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 | 0.001 |
| 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".