‘Play’ing College Football: Campus Athletic Worker Experiences of Exploitation
Bibliographic record
Abstract
It is well-established in the literature on the economic dimensions of US college sport that it has become a site of professionalized, value-producing work that does not equitably compensate the campus athletic workers responsible for the production of value therein. Yet, while these interventions make highly compelling political economic claims, few focus on how college athletes themselves experience the system and thus the exploitation they might endure. Drawing on testimony from semi-structured interviews conducted with 25 former college football players, we aim to expand discussions of exploitation beyond debates over compensation through our analysis of the contrast between ‘work’ and ‘play’ that exists in the lives of campus athletic workers. Utilizing a non-deterministic Marxian theory of exploitation, this paper explicitly interrogates the way capitalist ideology permeates college football by centering the important tension between ‘work’ and ‘play’ that contributes to that ideology as experienced and understood by college football players.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.017 | 0.027 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".