‘Karma is the guy on the Chiefs … ’: contextualizing putting lipstick on a pigskin and the Taylor Swift and Travis Kelce romance
Bibliographic record
Abstract
In September 2023, global pop music icon, Taylor Swift, attended a Kansas City Chiefs National Football League (NFL) game, confirming rumors that she was dating player Travis Kelce. In this paper, I address a gap in the sport philosophy literature analyzing musicians and sport and the connections with American Football and gender tropes. After Swift’s attendance at the game, there was a 400% spike in Kelce jersey sales. Additionally, there was a 63% increase in women NFL viewers aged 18–49. I analyze the interconnections of Swift and football from a feminist lens. I make two claims in this paper: (i) The Swift-Kelce romance has overshadowed the NFL’s significant ethical problems, and (ii) Swift challenged stereotypical ideals and expectations of women and girlfriends of sports stars (WAGS). I will also refer to the extensive criticism and misogyny that Swift experienced while attending NFL games and highlight the political connections with gender and football.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".