Bibliographic record
Abstract
Mixed martial arts (MMA) is an emergent sport where competitors in a ring or cage utilize strikes (punches, kicks, elbows and knees) as well as submission techniques to defeat opponents. This book explores the carnal experience of fighting through a sensory ethnography of MMA, and how it transgresses the cultural scripts of masculinity in popular culture. Based on four years of participant observation in a local MMA club and in-depth interviews with amateur and professional MMA fighters, Spencer documents fighters' training regimes and the meanings they attach to participation in the sport. Drawing from the philosophical phenomenology of Martin Heidegger, Maurice Merleau-Ponty and Jean-Luc Nancy, this book develops bodies-centered ontological and epistemological grounding for this study. Guided by such a position, it places bodies at the center of analysis of MMA and elucidates the embodied experience of pain and injury, and the sense and rhythms of fighting.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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; both teacher heads agree on what is shown here.
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".