Bibliographic record
Abstract
Abstract This article deploys Peircean approach to bodily skills, foregrounding motricity as a semiotically mediated and a “suprasubjective” process. By examining two contrasting skills – javelin and martial arts – I draw out the relevance of dynamic movement to the semiotics of sport and embodiment. These contrasting movements expose different epistemological assumptions since they emerge in distinct cultural traditions. To attend to the cultural dimension of movement practices – including the mediation of signs making certain movement forms seem reasonable or desirable in the first place – I highlight ecological dimensions of each somatic tradition. This ecological focus aligns with Peirce’s project of tracking how semiotic signs are positioned and mediated. To make ecological factors of motricity more recognizable, I contrast somatic engagements that take place on synthetic, predictable substrates and somatic engagements that take place on variable, unpredictable ground. In a similar way to the classic gestalt figure-ground relations, where perception of a figure depends on the particulars of the ground, I suggest that the ground upon which somatic action occurs shapes the way we make sense of it epistemologically. These different grounds – both literally and figuratively – operate representationally via thirdness: they lead us to conceptualize movement in culturally and historically particular ways.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.036 |
| Scholarly communication | 0.012 | 0.017 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".