A Prisoner’s Dilemma with Asymmetrical Payoffs: Revealing the Challenges Faced by Performing Arts Health and Wellness Practitioners
Bibliographic record
Abstract
In a prisoner's dilemma, constructed narratives are used to demonstrate problems within individual rationality and decision-making. Performing artists can be seen as facing a type of prisoner's dilemma in their careers: they must practice repeated movements for long periods in order to improve, yet despite the short-term perception of gained artistic benefit, the long-term consequences may be playing-related musculoskeletal disorders and injury. To help avoid such an outcome, educators and health and wellness practitioners must function as negotiators, engaging in discussions of artistry as part of establishing credibility and encouraging behaviors that keep artists in efficient, healthy behaviors. By setting practice time limits that are considerate of the intensity of each specific task, performers can improve their performance on a daily basis and become more skilled at planning their future training.
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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 | 0.018 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.038 |
| Scholarly communication | 0.013 | 0.016 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.002 | 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".